├── assets
└── cabra.png
├── scripts
└── datasettranslator_libretranslate.py
├── README.md
├── LICENSE
└── notebooks
└── inference-cabra-kaggle.ipynb
/assets/cabra.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/gustrd/cabra/HEAD/assets/cabra.png
--------------------------------------------------------------------------------
/scripts/datasettranslator_libretranslate.py:
--------------------------------------------------------------------------------
1 | # -*- coding: utf-8 -*-
2 | """
3 | Automatically generated by Colaboratory.
4 |
5 | Original file is located at
6 | https://colab.research.google.com/drive/1ZqHM-Oxl1kfsfJzD3OdWu49EgCfbnT3K
7 | """
8 | # !pip install libretranslatepy
9 | # Download the dataset
10 | # !wget https://huggingface.co/datasets/databricks/databricks-dolly-15k/resolve/main/databricks-dolly-15k.jsonl
11 |
12 | import json
13 | from tqdm import tqdm
14 | from itertools import islice
15 | from libretranslatepy import LibreTranslateAPI
16 |
17 | def translate_data(input_file_path, output_file_path, fields_to_translate, libre_translate_url, translate_from, translate_to):
18 |
19 | lt = LibreTranslateAPI(url=libre_translate_url)
20 |
21 | # Count the total number of lines
22 | with open(input_file_path, 'r') as file:
23 | total_lines = sum(1 for _ in file)
24 |
25 | print(f"Total number of lines: {total_lines}")
26 |
27 | # Count the total number of already translated lines
28 | try:
29 | with open(output_file_path, 'r') as file:
30 | translated_lines = sum(1 for _ in file)
31 | except FileNotFoundError:
32 | print(f"No output file found at {output_file_path}. Assuming no lines have been translated yet.")
33 | translated_lines = 0
34 | print(f"Total number of already translated lines: {translated_lines}")
35 |
36 | with open(input_file_path, 'r') as input_file, open(output_file_path, 'w') as output_file:
37 |
38 | current_line = translated_lines
39 | with tqdm(total=total_lines) as loop_controller:
40 | for j, line in enumerate(islice(input_file, translated_lines, None)):
41 | current_line += 1
42 |
43 | data = json.loads(line)
44 | loop_controller.update(1)
45 | # Translate necessary fields
46 | for field in fields_to_translate:
47 | if field in data and data[field] != "":
48 | if isinstance(data[field], list):
49 | data[field] = data[field][0]
50 | original_text = data[field]
51 | translation = lt.translate(original_text, translate_from, translate_to)
52 | translation = translation.replace("Inglês","Português")
53 | translation = translation.replace("inglês","português")
54 | #print(translation)
55 | data[field] = translation
56 | else:
57 | data[field] = ""
58 |
59 | # Save translated entry in the output file
60 | output_file.write(json.dumps(data) + '\n')
61 |
62 | # Print processed percentage
63 | percentage = ((current_line + 1) / total_lines) * 100
64 | print(f'\n-----> Line {current_line}/{total_lines} -----> Processed percentage: {percentage:.2f}\n')
65 |
66 | def main():
67 | # Set the variables
68 | input_file_path = "./databricks-dolly-15k.jsonl"
69 | output_file_path = "./output.jsonl"
70 | fields_to_translate = ['instruction', 'context', 'response'] # Must be adapted to each different dataset
71 | libre_translate_url = "http://127.0.0.1:5000" # It's better to host a local LibreTranslate server, check their GitHub repo. Or you can subscribe to their service, if you do so you must provide the API Key.
72 | translate_from='en'
73 | translate_to='pt'
74 |
75 | # Run
76 | translate_data(input_file_path, output_file_path, fields_to_translate, libre_translate_url, translate_from, translate_to)
77 |
78 | if __name__ == '__main__':
79 | main()
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 | # Cabra: A portuguese finetuned instruction Open-LLaMA
6 |
7 | This repository is intended to share all the steps and resources that we used to finetune our version of Open-LLaMA.
8 |
9 | This model is allowed for commercial purposes, by having the license cc-by-sa-3.0. It only used commercially licensed sources.
10 |
11 | The project was strongly inspired by [Cabrita](https://github.com/22-hours/cabrita), which had a similar solution but without using commercially licensed sources, and used a smaller 7B model instead of a 13B.
12 |
13 | The resulting models can be downloaded at Hugging Face:
14 |
15 | - [Cabra-13B-LoRA](https://huggingface.co/Gustrd/open-llama-13b-lora-cabra-adapter) - To use with the [original model](https://huggingface.co/VMware/open-llama-13b-open-instruct);
16 |
17 | - [Cabra-13B-Merged](TODO) - To standalone use - TODO;
18 |
19 | - [Cabra-13B-GGML](https://huggingface.co/Gustrd/open-llama-13b-lora-cabra-adapter) - For CPU inference, using [llama.cpp](https://github.com/ggerganov/llama.cpp) or [koboldcpp](https://github.com/LostRuins/koboldcpp). Only with the adapter for now;
20 |
21 | You can test the inference online at Kaggle [here](https://www.kaggle.com/gustavorochadias/inference-cabra-kaggle-v1-0).
22 |
23 | ## Benchmarks
24 |
25 | We have introduced a novel benchmark to assess the performance of models in English-to-Portuguese translation tasks. Named HIPPO (High-level Interlingual Performance Proximity Optimized), this automated benchmark evaluates not only the absence of grammatical errors but also the semantic closeness of the translation to a reference, using embeddings. You can access the documentation for the HIPPO Benchmark [here](https://github.com/gustrd/hippo).
26 |
27 | For these models, we utilized the parameters listed below, which we believe can still be optimized:
28 |
29 | - Dataset: 2k rows - [opus-100 en-pt validation subset](https://huggingface.co/datasets/opus100/viewer/en-pt/validation);
30 | - Temperature: 0.3;
31 | - Top-P value: 0.9;
32 |
33 | Results Overview:
34 |
35 | | Model | Fine-tuned? | Original Model | Allows Commercial Use? |HIPPO-Opus100-Grammar | HIPPO-Opus100-Paraphrase | HIPPO-Opus100-Combined |
36 | |-------|-------------|----------------|------------------------|----------------------|--------------------------|------------------------|
37 | | Llama-7B | No | N/A | No | 6.11% | 8.91% | 2.10% |
38 | | Alpaca-7B | Yes | Llama-7B | No | 32.60% | 46.30% | 15.25% |
39 | | Cabrita-7B | Yes | Llama-7B | No | 34.00% | 33.85% | 10.60% |
40 | | OpenLlama-Instruct-13B | Yes | OpenLlama-13B | Yes | 26.35% | 32.50% | 8.75% |
41 | | Cabra-13B (ours) | Yes | OpenLlama-Instruct-13B | Yes | 35.75% | 37.75% | 12.40% |
42 | | LibreTranslate (reference) | Not-LLM | Not-LLM | Yes | 44.55% | 66.40% | 27.90% |
43 |
44 | - Fine-tuning models specifically for the target language significantly improves their capability.
45 | - Alpaca-7B showcases remarkable efficiency even without Portuguese-specific fine-tuning. This could be attributed to the superiority of the Alpaca Dataset compared to Dolly or possibly because Llama's foundational training surpasses that of OpenLlama.
46 | - Cabrita made improvements but lags behind Alpaca-7B. This might be due to the quick implementation of LoRA fine-tuning.
47 | - Cabra, despite its gains, still offers considerable room for enhancement, especially given its higher parameter count.
48 | - LibreTranslate, taken as a reference, faces challenges with this benchmark as well, indicating the complexities and nuances of certain translation tasks.
49 |
50 | ## References
51 |
52 | > If I have seen further it is by standing on the sholders [sic] of Giants.
53 | > -- Isaac Newton
54 |
55 | We started this section with this citation because everything we accomplished was only possible due to the strong community and the work that other people and groups have done. For our work, we mainly rely on the works developed by: [Cabrita](https://github.com/22-hours/cabrita), [OpenLlama](https://github.com/openlm-research/open_llama), [Hugging Face](https://huggingface.co/), [Open-Instruct](https://github.com/allenai/open-instruct), [VMware](https://huggingface.co/VMware/open-llama-13b-open-instruct), [Dolly](https://github.com/databrickslabs/dolly) and [LibreTranslate](https://github.com/LibreTranslate/LibreTranslate) .So, thank you all for the great work and contribution to the open-source community!
56 |
57 |
58 | ## Data
59 |
60 | We translated the [databricks-dolly-15k.jsonl](https://huggingface.co/datasets/databricks/databricks-dolly-15k/resolve/main/databricks-dolly-15k.jsonl) into Portuguese using LibreTranslate. Even if this translation is flawed, the tradeoff between speed, cost and results is good. We were able to do it in a few hours on a consumer-grade laptop. The translation script is at this repository.
61 |
62 | If you want to know more about how the dataset was built go to: [Dolly](https://github.com/databrickslabs/dolly).
63 |
64 | We refrained from using GPT for translation, as the original Cabrita project did, due to licensing issues. Also, the recently released Llama 2 model is currently not licensed for use in Portuguese.
65 |
66 | ## Finetuning
67 |
68 | To fine-tune the OpenLLaMA model, we used as base the code available on [Cabrita](https://github.com/22-hours/cabrita), which provides code to finetune the LLaMA model using PEFT from Hugging Face, we just adapted it to OpenLlama-Instruct. With this, we could run our finetuning step using 1 A4000 at Paperspace on top of OpenLLaMA-OpenInstruct-13B. We trained for about 7 hours and we found the results to be pretty incredible in just that amount of time. The notebook we used is avaible [here](https://github.com/gustrd/cabra/blob/dev/notebooks/qLora-Training-Cabra%20-%20Paperspace.ipynb).
69 |
70 | ## Example outputs
71 |
72 | open-llama-13b-open-instruct:
73 | ```
74 | Instruction: Invente uma desculpa criativa pra dizer que não preciso ir à festa.
75 | Response: Sentimento de culpa. Eu não quero ir à festa, pois esse tipo de evento é um local em que as pessoas se reúnem para ter aulas de dança e canto, e também para se divertir e socializar. Mas eu não quero ir, pois estou comum ao público e não quero expor a minha alma ao risco de ser criticada ou ridicularizada.
76 | ```
77 |
78 | Cabra:
79 | ```
80 | Instrução:
81 | Invente uma desculpa criativa pra dizer que não preciso ir à festa.
82 |
83 | Resposta:
84 | Tenho problemas financeiros.
85 | ```
86 |
87 | open-llama-13b-open-instruct:
88 | ```
89 | Instruction: Como posso começar a carreira como cientista de dados? Escreva na forma de lista.
90 | Response:
91 | 1. Obtenha um bacharelado em ciência da computação ou em engenharia da computação.
92 | 2. Obtenha um mestrado em ciência da computação ou em engenharia da computação com ênfase em inteligência artificial.
93 | 3. Comece a trabalhar em um campo de interesse, como a mensagem, o negócio ou a ciência.
94 | 4. Participação em eventos de ciência da computação, como conferências, workshops e congressos.
95 | 5. Aplique para bolsas de pesquisa e desenvolvimento.
96 | 6. Aplique para o Programa de Pós-Doutoramento em Ciência da Computação da Microsoft.
97 | 7. Aplique para o Programa de Pós-Doutoramento em Ciência da Computação da Facebook.
98 | 8. Aplique para o Programa de Pós-Doutoramento em Ciência da Computação da Google.
99 | 9. Aplique para o Programa de Pós-Doutoramento em Ciência da Computação da Amazon.
100 | ```
101 |
102 | Cabra:
103 | ```
104 | Instrução:
105 | Como posso começar a carreira como cientista de dados? Escreva na forma de lista.
106 |
107 | Resposta:
108 | - Estudar matemática, ciência da computação e engenharia.
109 | - Aprender a usar um framework de desenvolvimento de software que você goste.
110 | - Aprendendo sobre os conceitos de análise de dados e análises estatísticas.
111 | - Aprender a fazer visualizações de dados e apresentações.
112 | - Fazer programas para realizar processamentos de dados.
113 | - Selecionando uma área de interesse e trabalhando nela.
114 | - Desenvolver habilidades de comunicação e organização que são importantes para trabalho de dados.
115 | - Trabalhando em projetos em grupo ou sozinho.
116 | ```
117 |
118 | You can download the eval notebook to test [here](https://github.com/gustrd/cabra/blob/dev/notebooks/inference-cabra-kaggle.ipynb).
119 |
120 | ## Recent Advancements
121 |
122 | - 2023-08-07: Introduced the HIPPO-Opus100 benchmark to assess the quality of each model's fine-tuning.
123 |
124 | ## Upcoming Objectives
125 |
126 | - Language Impact on Prompt Structure: Investigate the differential impacts of using the Alpaca prompt structure in English compared to Portuguese.
127 | - Efficiency Analysis: Examine the efficiency of [Emotional Stimuly](https://techxplore.com/news/2023-08-exploring-effects-emotional-stimuli-large.html) in model performance and response.
128 | - Dataset Enhancement: We aim to improve the Portuguese dataset using advanced translation tools. Our current strategy involves leveraging the [open-instruct-v1-oasst-dolly-hhrlhf](https://huggingface.co/datasets/VMware/open-instruct-v1-oasst-dolly-hhrlhf) dataset, combined with automatic translations from MarinMT and LibreTranslate. The subsequent dataset will undergo HIPPO filtering to eliminate rows containing grammatical errors or those with suboptimal semantic proximity.
129 | - Model Fine-Tuning: As new versions of OpenLlama are launched, we plan to fine-tune our larger models accordingly.
130 | - Alternative Model Study: We are researching alternatives to OpenLlama that are not only efficient but also permit commercial usage, such as the MPT.
131 |
132 | ## Authors
133 |
134 | - [gustrd](https://github.com/gustrd)
135 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | https://creativecommons.org/licenses/by-sa/3.0/
2 |
3 | Attribution-ShareAlike 3.0 Unported
4 |
5 | CREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE LEGAL SERVICES. DISTRIBUTION OF THIS LICENSE DOES NOT CREATE AN ATTORNEY-CLIENT RELATIONSHIP. CREATIVE COMMONS PROVIDES THIS INFORMATION ON AN "AS-IS" BASIS. CREATIVE COMMONS MAKES NO WARRANTIES REGARDING THE INFORMATION PROVIDED, AND DISCLAIMS LIABILITY FOR DAMAGES RESULTING FROM ITS USE.
6 | License
7 | THE WORK (AS DEFINED BELOW) IS PROVIDED UNDER THE TERMS OF THIS CREATIVE COMMONS PUBLIC LICENSE ("CCPL" OR "LICENSE"). THE WORK IS PROTECTED BY COPYRIGHT AND/OR OTHER APPLICABLE LAW. ANY USE OF THE WORK OTHER THAN AS AUTHORIZED UNDER THIS LICENSE OR COPYRIGHT LAW IS PROHIBITED.
8 |
9 | BY EXERCISING ANY RIGHTS TO THE WORK PROVIDED HERE, YOU ACCEPT AND AGREE TO BE BOUND BY THE TERMS OF THIS LICENSE. TO THE EXTENT THIS LICENSE MAY BE CONSIDERED TO BE A CONTRACT, THE LICENSOR GRANTS YOU THE RIGHTS CONTAINED HERE IN CONSIDERATION OF YOUR ACCEPTANCE OF SUCH TERMS AND CONDITIONS.
10 |
11 | 1. Definitions
12 |
13 | "Adaptation" means a work based upon the Work, or upon the Work and other pre-existing works, such as a translation, adaptation, derivative work, arrangement of music or other alterations of a literary or artistic work, or phonogram or performance and includes cinematographic adaptations or any other form in which the Work may be recast, transformed, or adapted including in any form recognizably derived from the original, except that a work that constitutes a Collection will not be considered an Adaptation for the purpose of this License. For the avoidance of doubt, where the Work is a musical work, performance or phonogram, the synchronization of the Work in timed-relation with a moving image ("synching") will be considered an Adaptation for the purpose of this License.
14 | "Collection" means a collection of literary or artistic works, such as encyclopedias and anthologies, or performances, phonograms or broadcasts, or other works or subject matter other than works listed in Section 1(f) below, which, by reason of the selection and arrangement of their contents, constitute intellectual creations, in which the Work is included in its entirety in unmodified form along with one or more other contributions, each constituting separate and independent works in themselves, which together are assembled into a collective whole. A work that constitutes a Collection will not be considered an Adaptation (as defined below) for the purposes of this License.
15 | "Creative Commons Compatible License" means a license that is listed at https://creativecommons.org/compatiblelicenses that has been approved by Creative Commons as being essentially equivalent to this License, including, at a minimum, because that license: (i) contains terms that have the same purpose, meaning and effect as the License Elements of this License; and, (ii) explicitly permits the relicensing of adaptations of works made available under that license under this License or a Creative Commons jurisdiction license with the same License Elements as this License.
16 | "Distribute" means to make available to the public the original and copies of the Work or Adaptation, as appropriate, through sale or other transfer of ownership.
17 | "License Elements" means the following high-level license attributes as selected by Licensor and indicated in the title of this License: Attribution, ShareAlike.
18 | "Licensor" means the individual, individuals, entity or entities that offer(s) the Work under the terms of this License.
19 | "Original Author" means, in the case of a literary or artistic work, the individual, individuals, entity or entities who created the Work or if no individual or entity can be identified, the publisher; and in addition (i) in the case of a performance the actors, singers, musicians, dancers, and other persons who act, sing, deliver, declaim, play in, interpret or otherwise perform literary or artistic works or expressions of folklore; (ii) in the case of a phonogram the producer being the person or legal entity who first fixes the sounds of a performance or other sounds; and, (iii) in the case of broadcasts, the organization that transmits the broadcast.
20 | "Work" means the literary and/or artistic work offered under the terms of this License including without limitation any production in the literary, scientific and artistic domain, whatever may be the mode or form of its expression including digital form, such as a book, pamphlet and other writing; a lecture, address, sermon or other work of the same nature; a dramatic or dramatico-musical work; a choreographic work or entertainment in dumb show; a musical composition with or without words; a cinematographic work to which are assimilated works expressed by a process analogous to cinematography; a work of drawing, painting, architecture, sculpture, engraving or lithography; a photographic work to which are assimilated works expressed by a process analogous to photography; a work of applied art; an illustration, map, plan, sketch or three-dimensional work relative to geography, topography, architecture or science; a performance; a broadcast; a phonogram; a compilation of data to the extent it is protected as a copyrightable work; or a work performed by a variety or circus performer to the extent it is not otherwise considered a literary or artistic work.
21 | "You" means an individual or entity exercising rights under this License who has not previously violated the terms of this License with respect to the Work, or who has received express permission from the Licensor to exercise rights under this License despite a previous violation.
22 | "Publicly Perform" means to perform public recitations of the Work and to communicate to the public those public recitations, by any means or process, including by wire or wireless means or public digital performances; to make available to the public Works in such a way that members of the public may access these Works from a place and at a place individually chosen by them; to perform the Work to the public by any means or process and the communication to the public of the performances of the Work, including by public digital performance; to broadcast and rebroadcast the Work by any means including signs, sounds or images.
23 | "Reproduce" means to make copies of the Work by any means including without limitation by sound or visual recordings and the right of fixation and reproducing fixations of the Work, including storage of a protected performance or phonogram in digital form or other electronic medium.
24 | 2. Fair Dealing Rights. Nothing in this License is intended to reduce, limit, or restrict any uses free from copyright or rights arising from limitations or exceptions that are provided for in connection with the copyright protection under copyright law or other applicable laws.
25 |
26 | 3. License Grant. Subject to the terms and conditions of this License, Licensor hereby grants You a worldwide, royalty-free, non-exclusive, perpetual (for the duration of the applicable copyright) license to exercise the rights in the Work as stated below:
27 |
28 | to Reproduce the Work, to incorporate the Work into one or more Collections, and to Reproduce the Work as incorporated in the Collections;
29 | to create and Reproduce Adaptations provided that any such Adaptation, including any translation in any medium, takes reasonable steps to clearly label, demarcate or otherwise identify that changes were made to the original Work. For example, a translation could be marked "The original work was translated from English to Spanish," or a modification could indicate "The original work has been modified.";
30 | to Distribute and Publicly Perform the Work including as incorporated in Collections; and,
31 | to Distribute and Publicly Perform Adaptations.
32 | For the avoidance of doubt:
33 |
34 | Non-waivable Compulsory License Schemes. In those jurisdictions in which the right to collect royalties through any statutory or compulsory licensing scheme cannot be waived, the Licensor reserves the exclusive right to collect such royalties for any exercise by You of the rights granted under this License;
35 | Waivable Compulsory License Schemes. In those jurisdictions in which the right to collect royalties through any statutory or compulsory licensing scheme can be waived, the Licensor waives the exclusive right to collect such royalties for any exercise by You of the rights granted under this License; and,
36 | Voluntary License Schemes. The Licensor waives the right to collect royalties, whether individually or, in the event that the Licensor is a member of a collecting society that administers voluntary licensing schemes, via that society, from any exercise by You of the rights granted under this License.
37 | The above rights may be exercised in all media and formats whether now known or hereafter devised. The above rights include the right to make such modifications as are technically necessary to exercise the rights in other media and formats. Subject to Section 8(f), all rights not expressly granted by Licensor are hereby reserved.
38 |
39 | 4. Restrictions. The license granted in Section 3 above is expressly made subject to and limited by the following restrictions:
40 |
41 | You may Distribute or Publicly Perform the Work only under the terms of this License. You must include a copy of, or the Uniform Resource Identifier (URI) for, this License with every copy of the Work You Distribute or Publicly Perform. You may not offer or impose any terms on the Work that restrict the terms of this License or the ability of the recipient of the Work to exercise the rights granted to that recipient under the terms of the License. You may not sublicense the Work. You must keep intact all notices that refer to this License and to the disclaimer of warranties with every copy of the Work You Distribute or Publicly Perform. When You Distribute or Publicly Perform the Work, You may not impose any effective technological measures on the Work that restrict the ability of a recipient of the Work from You to exercise the rights granted to that recipient under the terms of the License. This Section 4(a) applies to the Work as incorporated in a Collection, but this does not require the Collection apart from the Work itself to be made subject to the terms of this License. If You create a Collection, upon notice from any Licensor You must, to the extent practicable, remove from the Collection any credit as required by Section 4(c), as requested. If You create an Adaptation, upon notice from any Licensor You must, to the extent practicable, remove from the Adaptation any credit as required by Section 4(c), as requested.
42 | You may Distribute or Publicly Perform an Adaptation only under the terms of: (i) this License; (ii) a later version of this License with the same License Elements as this License; (iii) a Creative Commons jurisdiction license (either this or a later license version) that contains the same License Elements as this License (e.g., Attribution-ShareAlike 3.0 US)); (iv) a Creative Commons Compatible License. If you license the Adaptation under one of the licenses mentioned in (iv), you must comply with the terms of that license. If you license the Adaptation under the terms of any of the licenses mentioned in (i), (ii) or (iii) (the "Applicable License"), you must comply with the terms of the Applicable License generally and the following provisions: (I) You must include a copy of, or the URI for, the Applicable License with every copy of each Adaptation You Distribute or Publicly Perform; (II) You may not offer or impose any terms on the Adaptation that restrict the terms of the Applicable License or the ability of the recipient of the Adaptation to exercise the rights granted to that recipient under the terms of the Applicable License; (III) You must keep intact all notices that refer to the Applicable License and to the disclaimer of warranties with every copy of the Work as included in the Adaptation You Distribute or Publicly Perform; (IV) when You Distribute or Publicly Perform the Adaptation, You may not impose any effective technological measures on the Adaptation that restrict the ability of a recipient of the Adaptation from You to exercise the rights granted to that recipient under the terms of the Applicable License. This Section 4(b) applies to the Adaptation as incorporated in a Collection, but this does not require the Collection apart from the Adaptation itself to be made subject to the terms of the Applicable License.
43 | If You Distribute, or Publicly Perform the Work or any Adaptations or Collections, You must, unless a request has been made pursuant to Section 4(a), keep intact all copyright notices for the Work and provide, reasonable to the medium or means You are utilizing: (i) the name of the Original Author (or pseudonym, if applicable) if supplied, and/or if the Original Author and/or Licensor designate another party or parties (e.g., a sponsor institute, publishing entity, journal) for attribution ("Attribution Parties") in Licensor's copyright notice, terms of service or by other reasonable means, the name of such party or parties; (ii) the title of the Work if supplied; (iii) to the extent reasonably practicable, the URI, if any, that Licensor specifies to be associated with the Work, unless such URI does not refer to the copyright notice or licensing information for the Work; and (iv) , consistent with Ssection 3(b), in the case of an Adaptation, a credit identifying the use of the Work in the Adaptation (e.g., "French translation of the Work by Original Author," or "Screenplay based on original Work by Original Author"). The credit required by this Section 4(c) may be implemented in any reasonable manner; provided, however, that in the case of a Adaptation or Collection, at a minimum such credit will appear, if a credit for all contributing authors of the Adaptation or Collection appears, then as part of these credits and in a manner at least as prominent as the credits for the other contributing authors. For the avoidance of doubt, You may only use the credit required by this Section for the purpose of attribution in the manner set out above and, by exercising Your rights under this License, You may not implicitly or explicitly assert or imply any connection with, sponsorship or endorsement by the Original Author, Licensor and/or Attribution Parties, as appropriate, of You or Your use of the Work, without the separate, express prior written permission of the Original Author, Licensor and/or Attribution Parties.
44 | Except as otherwise agreed in writing by the Licensor or as may be otherwise permitted by applicable law, if You Reproduce, Distribute or Publicly Perform the Work either by itself or as part of any Adaptations or Collections, You must not distort, mutilate, modify or take other derogatory action in relation to the Work which would be prejudicial to the Original Author's honor or reputation. Licensor agrees that in those jurisdictions (e.g. Japan), in which any exercise of the right granted in Section 3(b) of this License (the right to make Adaptations) would be deemed to be a distortion, mutilation, modification or other derogatory action prejudicial to the Original Author's honor and reputation, the Licensor will waive or not assert, as appropriate, this Section, to the fullest extent permitted by the applicable national law, to enable You to reasonably exercise Your right under Section 3(b) of this License (right to make Adaptations) but not otherwise.
45 | 5. Representations, Warranties and Disclaimer
46 |
47 | UNLESS OTHERWISE MUTUALLY AGREED TO BY THE PARTIES IN WRITING, LICENSOR OFFERS THE WORK AS-IS AND MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THE WORK, EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, INCLUDING, WITHOUT LIMITATION, WARRANTIES OF TITLE, MERCHANTIBILITY, FITNESS FOR A PARTICULAR PURPOSE, NONINFRINGEMENT, OR THE ABSENCE OF LATENT OR OTHER DEFECTS, ACCURACY, OR THE PRESENCE OF ABSENCE OF ERRORS, WHETHER OR NOT DISCOVERABLE. SOME JURISDICTIONS DO NOT ALLOW THE EXCLUSION OF IMPLIED WARRANTIES, SO SUCH EXCLUSION MAY NOT APPLY TO YOU.
48 |
49 | 6. Limitation on Liability. EXCEPT TO THE EXTENT REQUIRED BY APPLICABLE LAW, IN NO EVENT WILL LICENSOR BE LIABLE TO YOU ON ANY LEGAL THEORY FOR ANY SPECIAL, INCIDENTAL, CONSEQUENTIAL, PUNITIVE OR EXEMPLARY DAMAGES ARISING OUT OF THIS LICENSE OR THE USE OF THE WORK, EVEN IF LICENSOR HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
50 |
51 | 7. Termination
52 |
53 | This License and the rights granted hereunder will terminate automatically upon any breach by You of the terms of this License. Individuals or entities who have received Adaptations or Collections from You under this License, however, will not have their licenses terminated provided such individuals or entities remain in full compliance with those licenses. Sections 1, 2, 5, 6, 7, and 8 will survive any termination of this License.
54 | Subject to the above terms and conditions, the license granted here is perpetual (for the duration of the applicable copyright in the Work). Notwithstanding the above, Licensor reserves the right to release the Work under different license terms or to stop distributing the Work at any time; provided, however that any such election will not serve to withdraw this License (or any other license that has been, or is required to be, granted under the terms of this License), and this License will continue in full force and effect unless terminated as stated above.
55 | 8. Miscellaneous
56 |
57 | Each time You Distribute or Publicly Perform the Work or a Collection, the Licensor offers to the recipient a license to the Work on the same terms and conditions as the license granted to You under this License.
58 | Each time You Distribute or Publicly Perform an Adaptation, Licensor offers to the recipient a license to the original Work on the same terms and conditions as the license granted to You under this License.
59 | If any provision of this License is invalid or unenforceable under applicable law, it shall not affect the validity or enforceability of the remainder of the terms of this License, and without further action by the parties to this agreement, such provision shall be reformed to the minimum extent necessary to make such provision valid and enforceable.
60 | No term or provision of this License shall be deemed waived and no breach consented to unless such waiver or consent shall be in writing and signed by the party to be charged with such waiver or consent.
61 | This License constitutes the entire agreement between the parties with respect to the Work licensed here. There are no understandings, agreements or representations with respect to the Work not specified here. Licensor shall not be bound by any additional provisions that may appear in any communication from You. This License may not be modified without the mutual written agreement of the Licensor and You.
62 | The rights granted under, and the subject matter referenced, in this License were drafted utilizing the terminology of the Berne Convention for the Protection of Literary and Artistic Works (as amended on September 28, 1979), the Rome Convention of 1961, the WIPO Copyright Treaty of 1996, the WIPO Performances and Phonograms Treaty of 1996 and the Universal Copyright Convention (as revised on July 24, 1971). These rights and subject matter take effect in the relevant jurisdiction in which the License terms are sought to be enforced according to the corresponding provisions of the implementation of those treaty provisions in the applicable national law. If the standard suite of rights granted under applicable copyright law includes additional rights not granted under this License, such additional rights are deemed to be included in the License; this License is not intended to restrict the license of any rights under applicable law.
63 | Creative Commons Notice
64 | Creative Commons is not a party to this License, and makes no warranty whatsoever in connection with the Work. Creative Commons will not be liable to You or any party on any legal theory for any damages whatsoever, including without limitation any general, special, incidental or consequential damages arising in connection to this license. Notwithstanding the foregoing two (2) sentences, if Creative Commons has expressly identified itself as the Licensor hereunder, it shall have all rights and obligations of Licensor.
65 |
66 | Except for the limited purpose of indicating to the public that the Work is licensed under the CCPL, Creative Commons does not authorize the use by either party of the trademark "Creative Commons" or any related trademark or logo of Creative Commons without the prior written consent of Creative Commons. Any permitted use will be in compliance with Creative Commons' then-current trademark usage guidelines, as may be published on its website or otherwise made available upon request from time to time. For the avoidance of doubt, this trademark restriction does not form part of the License.
67 |
68 | Creative Commons may be contacted at https://creativecommons.org/.
--------------------------------------------------------------------------------
/notebooks/inference-cabra-kaggle.ipynb:
--------------------------------------------------------------------------------
1 | {"metadata":{"colab":{"provenance":[],"gpuType":"T4"},"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"accelerator":"GPU","widgets":{"application/vnd.jupyter.widget-state+json":{"1fe3fa9e863a42eb9757f8a10f75872a":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_e08dfa2655fa449c8276f27298e886c3","IPY_MODEL_7ff807b669a342cca49f28a4537ef3e5","IPY_MODEL_52de7533762540a68744ef037db2979f"],"layout":"IPY_MODEL_3364e9c9b3a84eea9e27318b91acc3d3"}},"e08dfa2655fa449c8276f27298e886c3":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_c3836ca7d81e47f4a5559e9a1613c152","placeholder":"","style":"IPY_MODEL_e94be44a09d940139f6d3ad055574ef7","value":"Downloading (…)okenizer_config.json: 100%"}},"7ff807b669a342cca49f28a4537ef3e5":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_49e23dd98a5a4e2aa8e88c63425677a8","max":727,"min":0,"orientation":"horizontal","style":"IPY_MODEL_452c08414c444c81b548a932d8a3ebb3","value":727}},"52de7533762540a68744ef037db2979f":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_a24a3df96d6f4d308cc37909de8a5034","placeholder":"","style":"IPY_MODEL_9b749013b93942e48c2ab488f2dca6ae","value":" 727/727 [00:00<00:00, 12.9kB/s]"}},"3364e9c9b3a84eea9e27318b91acc3d3":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"c3836ca7d81e47f4a5559e9a1613c152":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"e94be44a09d940139f6d3ad055574ef7":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"49e23dd98a5a4e2aa8e88c63425677a8":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"452c08414c444c81b548a932d8a3ebb3":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"a24a3df96d6f4d308cc37909de8a5034":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"9b749013b93942e48c2ab488f2dca6ae":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"0e804e7b582b4bd9b2211c53b6330e0c":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_533db68fdc2946868bc1601ab4546a58","IPY_MODEL_e7b9fe9fb4bc48b187937814eec2533d","IPY_MODEL_f04623254c7942aeac192df8be7e36b3"],"layout":"IPY_MODEL_c043d94fc3d64cd7a1d972a55b371454"}},"533db68fdc2946868bc1601ab4546a58":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_80ac78cbb27d4e608b01e23edde18479","placeholder":"","style":"IPY_MODEL_b510c21e2c214b00aa90d28f9013bebc","value":"Downloading tokenizer.model: 100%"}},"e7b9fe9fb4bc48b187937814eec2533d":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_46f55c99f4a745d4948a8aa92badb500","max":534194,"min":0,"orientation":"horizontal","style":"IPY_MODEL_45a8c9fd178248f8a6fb4aa7751ed6fe","value":534194}},"f04623254c7942aeac192df8be7e36b3":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_c445af2f18e14ce8bbb1ffe0bb305d9c","placeholder":"","style":"IPY_MODEL_48342d708eb4476aa1378d61e8ab7740","value":" 534k/534k [00:00<00:00, 4.48MB/s]"}},"c043d94fc3d64cd7a1d972a55b371454":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"80ac78cbb27d4e608b01e23edde18479":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"b510c21e2c214b00aa90d28f9013bebc":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"46f55c99f4a745d4948a8aa92badb500":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"45a8c9fd178248f8a6fb4aa7751ed6fe":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"c445af2f18e14ce8bbb1ffe0bb305d9c":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"48342d708eb4476aa1378d61e8ab7740":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"be18bb17615c42dcac2da02f3adb9873":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_3e8700b08a0e4f61b06cb4c526155f8b","IPY_MODEL_2ec802aa19784c53b8544c9d6dfea15a","IPY_MODEL_4d3852167a444097998f1a12550a01f0"],"layout":"IPY_MODEL_79c87a0549b643c8ba3d42094b331e42"}},"3e8700b08a0e4f61b06cb4c526155f8b":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_23bc3f1d9c464beb83cc7aae3626f82a","placeholder":"","style":"IPY_MODEL_46e54271029e4eb6a80a3bbd1d9856de","value":"Downloading (…)cial_tokens_map.json: 100%"}},"2ec802aa19784c53b8544c9d6dfea15a":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_b2dad94d66174099845ab4efaca27ad6","max":435,"min":0,"orientation":"horizontal","style":"IPY_MODEL_8bc5899e089a4fc5a197369e9dd07cb3","value":435}},"4d3852167a444097998f1a12550a01f0":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_d6db5dbd2e0e42c199eb0957124de7dd","placeholder":"","style":"IPY_MODEL_e9be38fb432e48f6b395dca5112a9f4b","value":" 435/435 [00:00<00:00, 8.00kB/s]"}},"79c87a0549b643c8ba3d42094b331e42":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"23bc3f1d9c464beb83cc7aae3626f82a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"46e54271029e4eb6a80a3bbd1d9856de":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"b2dad94d66174099845ab4efaca27ad6":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"8bc5899e089a4fc5a197369e9dd07cb3":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"d6db5dbd2e0e42c199eb0957124de7dd":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"e9be38fb432e48f6b395dca5112a9f4b":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"3ddb85b749264851bdf8a2ca12fab0bf":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_50f839d255b24244aa25c5885c11b9ec","IPY_MODEL_1a2e50e7ead544329abaa3d9d82c8eef","IPY_MODEL_b8f8ec84a0c34f70a9873e0d37e248eb"],"layout":"IPY_MODEL_dee880fc5d764450a2eccfe88e62785e"}},"50f839d255b24244aa25c5885c11b9ec":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_bfb36134ae324b6b89b8ef05a3cc81b9","placeholder":"","style":"IPY_MODEL_3005bbdd0eef4744b953696e0b625639","value":"Downloading (…)lve/main/config.json: 100%"}},"1a2e50e7ead544329abaa3d9d82c8eef":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_c691bc4969c04f72b060752945899490","max":575,"min":0,"orientation":"horizontal","style":"IPY_MODEL_a7c670c9f971404fb755c20a652d1a89","value":575}},"b8f8ec84a0c34f70a9873e0d37e248eb":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_9b69fb6dd4fb4bcc9c2e2536d7024307","placeholder":"","style":"IPY_MODEL_ba67e1e4c6794a809fd973fdbee704a3","value":" 575/575 [00:00<00:00, 12.7kB/s]"}},"dee880fc5d764450a2eccfe88e62785e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"bfb36134ae324b6b89b8ef05a3cc81b9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"3005bbdd0eef4744b953696e0b625639":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"c691bc4969c04f72b060752945899490":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"a7c670c9f971404fb755c20a652d1a89":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"9b69fb6dd4fb4bcc9c2e2536d7024307":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"ba67e1e4c6794a809fd973fdbee704a3":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"0890c35ca8484cc1957332a4dff56054":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_b5fc9dfedb744180bae9ea7c37d8de46","IPY_MODEL_8172544adaf44c3fa02879eb6c0244e3","IPY_MODEL_04427a76181a41c0bbc1cbe52ea54dad"],"layout":"IPY_MODEL_911bbd3a9a984b8cbabb866db94d5d85"}},"b5fc9dfedb744180bae9ea7c37d8de46":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_7f1cce0992c344bcb0dbb72f0599b5a3","placeholder":"","style":"IPY_MODEL_8d0bf3e406ee47c2abc4bc07c82376e5","value":"Downloading (…)model.bin.index.json: 100%"}},"8172544adaf44c3fa02879eb6c0244e3":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_029bc110fd564ac19c1175ef5667bc32","max":33444,"min":0,"orientation":"horizontal","style":"IPY_MODEL_be452a9d43234658a9f16aa8878da863","value":33444}},"04427a76181a41c0bbc1cbe52ea54dad":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_52cab7f2bf6f4a228da8db3d592657f1","placeholder":"","style":"IPY_MODEL_7a3fdb0585b24724841c78d3e95787c4","value":" 33.4k/33.4k [00:00<00:00, 857kB/s]"}},"911bbd3a9a984b8cbabb866db94d5d85":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"7f1cce0992c344bcb0dbb72f0599b5a3":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"8d0bf3e406ee47c2abc4bc07c82376e5":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"029bc110fd564ac19c1175ef5667bc32":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"be452a9d43234658a9f16aa8878da863":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"52cab7f2bf6f4a228da8db3d592657f1":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"7a3fdb0585b24724841c78d3e95787c4":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"6b07d028df0149719e31263431c7d8d5":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_88c89d4697ec43dcbfe38ac1aa1cdd9b","IPY_MODEL_a969a878c5c14780b5accf3dbc939bba","IPY_MODEL_9ebfa21789e745df9297cbf090173cb6"],"layout":"IPY_MODEL_540b301b5a604c5a9ce2561117e8dc83"}},"88c89d4697ec43dcbfe38ac1aa1cdd9b":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_15a19b8693bb4261b4e09867447addbb","placeholder":"","style":"IPY_MODEL_f370be6f70564cc88d6359788fbd94ad","value":"Downloading shards: 100%"}},"a969a878c5c14780b5accf3dbc939bba":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_41edfb6dcc0c48e497c793d76937da4d","max":3,"min":0,"orientation":"horizontal","style":"IPY_MODEL_1474b973be8f4ea7a4f65217b4d0298b","value":3}},"9ebfa21789e745df9297cbf090173cb6":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_3d50096c7aec4fd9a624286ac55ad530","placeholder":"","style":"IPY_MODEL_8286e5823d7c4b398678ab937a6988d1","value":" 3/3 [08:17<00:00, 156.26s/it]"}},"540b301b5a604c5a9ce2561117e8dc83":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"15a19b8693bb4261b4e09867447addbb":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"f370be6f70564cc88d6359788fbd94ad":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"41edfb6dcc0c48e497c793d76937da4d":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"1474b973be8f4ea7a4f65217b4d0298b":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"3d50096c7aec4fd9a624286ac55ad530":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"8286e5823d7c4b398678ab937a6988d1":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"3d046bb7a3d94e33bfbe5f960aced875":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_76ff1176ea9d4665bd0a29240a5f7596","IPY_MODEL_45865273b9594d00b947d4a0b0fba0cb","IPY_MODEL_b1cf47cec90140689983d7591c806ce9"],"layout":"IPY_MODEL_c79f4361b49f462182af72097ec739f9"}},"76ff1176ea9d4665bd0a29240a5f7596":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_8255b8279a094101a3aeb0be370a0e58","placeholder":"","style":"IPY_MODEL_65eaaf0ea7e7482190d519d617bee9e4","value":"Downloading (…)l-00001-of-00003.bin: 100%"}},"45865273b9594d00b947d4a0b0fba0cb":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_6af3678a25424ed2961a3f16e63bd62c","max":9948728430,"min":0,"orientation":"horizontal","style":"IPY_MODEL_b293409ca5364672b3264ac1890ed582","value":9948728430}},"b1cf47cec90140689983d7591c806ce9":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_8b29d4d171b5434b8800263c08cb8d3a","placeholder":"","style":"IPY_MODEL_5bbc5324b60947c4be0928c964392a48","value":" 9.95G/9.95G [03:14<00:00, 52.1MB/s]"}},"c79f4361b49f462182af72097ec739f9":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"8255b8279a094101a3aeb0be370a0e58":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"65eaaf0ea7e7482190d519d617bee9e4":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"6af3678a25424ed2961a3f16e63bd62c":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"b293409ca5364672b3264ac1890ed582":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"8b29d4d171b5434b8800263c08cb8d3a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"5bbc5324b60947c4be0928c964392a48":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"d0c80a073ed1426d8521d2f0c9234089":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_9fd1e3930c41448f98d8eef2f9e30d53","IPY_MODEL_1ff527d51f424853b014bfba773678ab","IPY_MODEL_619d0b0ffde548f89c6ff453ff79bd96"],"layout":"IPY_MODEL_7f1942d840f248a3a5a5f91fd797d123"}},"9fd1e3930c41448f98d8eef2f9e30d53":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_d55fa94f11b548a0abd207b1dd006e10","placeholder":"","style":"IPY_MODEL_de817732784e4ebaa8973c0002f3e4f8","value":"Downloading (…)l-00002-of-00003.bin: 100%"}},"1ff527d51f424853b014bfba773678ab":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_565dd4962fb7470199d8f116fbc59312","max":9904165024,"min":0,"orientation":"horizontal","style":"IPY_MODEL_e3afe28335584d9d9865a83cb55f8263","value":9904165024}},"619d0b0ffde548f89c6ff453ff79bd96":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_7772f5420e42492ca01d849f0b9695b1","placeholder":"","style":"IPY_MODEL_10d4a8ed16a74ce3885554c97e90ef78","value":" 9.90G/9.90G [03:07<00:00, 47.0MB/s]"}},"7f1942d840f248a3a5a5f91fd797d123":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"d55fa94f11b548a0abd207b1dd006e10":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"de817732784e4ebaa8973c0002f3e4f8":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"565dd4962fb7470199d8f116fbc59312":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"e3afe28335584d9d9865a83cb55f8263":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"7772f5420e42492ca01d849f0b9695b1":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"10d4a8ed16a74ce3885554c97e90ef78":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"6d2fa1630e59477a8a797977793bb6a1":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_7dabd9cafbce449f8705b0ea4dbaec23","IPY_MODEL_1972ab24b8374d51a6803e218c58cd27","IPY_MODEL_0b001c210d234e26b9c75aba0e90818f"],"layout":"IPY_MODEL_3100842ae9cd478e929b175f2a50368a"}},"7dabd9cafbce449f8705b0ea4dbaec23":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_67c4325d42f04641ba2b8d12eb110c18","placeholder":"","style":"IPY_MODEL_aa4d6f2e58cc4e59960291b01c404770","value":"Downloading (…)l-00003-of-00003.bin: 100%"}},"1972ab24b8374d51a6803e218c58cd27":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_8175518eaa5145908c4b77177be4356a","max":6178983625,"min":0,"orientation":"horizontal","style":"IPY_MODEL_0ca06674785c4c199d4535370993f905","value":6178983625}},"0b001c210d234e26b9c75aba0e90818f":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_7bf0b838fea34c368ff1e9c2aead905a","placeholder":"","style":"IPY_MODEL_cb59e709c7ae4c3f9d2078a872005edd","value":" 6.18G/6.18G [01:54<00:00, 62.3MB/s]"}},"3100842ae9cd478e929b175f2a50368a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"67c4325d42f04641ba2b8d12eb110c18":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"aa4d6f2e58cc4e59960291b01c404770":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"8175518eaa5145908c4b77177be4356a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0ca06674785c4c199d4535370993f905":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"7bf0b838fea34c368ff1e9c2aead905a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"cb59e709c7ae4c3f9d2078a872005edd":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"c770ee957da7453795448b88ec3a1ca0":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_3527d18121ed47aeaa158208109891db","IPY_MODEL_42c94720363342f1aa6b73bfaf3c3f1e","IPY_MODEL_01cfcd6aed8e419380b976fa6f5f5a31"],"layout":"IPY_MODEL_511de3d3aa8d4b1a83fd6e91c3badf65"}},"3527d18121ed47aeaa158208109891db":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_6d7ea9921f5f4350b58c101edae8ffc8","placeholder":"","style":"IPY_MODEL_0cf9ae568e5f426fbf922574de9668cf","value":"Loading checkpoint shards: 0%"}},"42c94720363342f1aa6b73bfaf3c3f1e":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"","description":"","description_tooltip":null,"layout":"IPY_MODEL_2eae8053c9664750b4d00373fef3eef2","max":3,"min":0,"orientation":"horizontal","style":"IPY_MODEL_72a3d1ddeba9462cb25eaf749052ffd5","value":0}},"01cfcd6aed8e419380b976fa6f5f5a31":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_4c576158dbf44db9a18dcbdd3389d1d0","placeholder":"","style":"IPY_MODEL_0dc59f2c7b1846228c5e81ed24fc931b","value":" 0/3 [00:00<?, ?it/s]"}},"511de3d3aa8d4b1a83fd6e91c3badf65":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"6d7ea9921f5f4350b58c101edae8ffc8":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0cf9ae568e5f426fbf922574de9668cf":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"2eae8053c9664750b4d00373fef3eef2":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"72a3d1ddeba9462cb25eaf749052ffd5":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"4c576158dbf44db9a18dcbdd3389d1d0":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0dc59f2c7b1846228c5e81ed24fc931b":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}}}}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"!nvidia-smi","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"F1eNRfEVix2D","outputId":"e5256bfb-3220-47b3-b55d-399651f8ec84","execution":{"iopub.status.busy":"2023-07-19T19:55:26.942121Z","iopub.execute_input":"2023-07-19T19:55:26.942747Z","iopub.status.idle":"2023-07-19T19:55:28.408503Z","shell.execute_reply.started":"2023-07-19T19:55:26.942705Z","shell.execute_reply":"2023-07-19T19:55:28.406999Z"},"trusted":true},"execution_count":10,"outputs":[{"name":"stdout","text":"Wed Jul 19 19:55:28 2023 \n+-----------------------------------------------------------------------------+\n| NVIDIA-SMI 470.161.03 Driver Version: 470.161.03 CUDA Version: 11.4 |\n|-------------------------------+----------------------+----------------------+\n| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n| | | MIG M. |\n|===============================+======================+======================|\n| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n| N/A 54C P0 28W / 70W | 4440MiB / 15109MiB | 0% Default |\n| | | N/A |\n+-------------------------------+----------------------+----------------------+\n| 1 Tesla T4 Off | 00000000:00:05.0 Off | 0 |\n| N/A 55C P0 28W / 70W | 4810MiB / 15109MiB | 0% Default |\n| | | N/A |\n+-------------------------------+----------------------+----------------------+\n \n+-----------------------------------------------------------------------------+\n| Processes: |\n| GPU GI CI PID Type Process name GPU Memory |\n| ID ID Usage |\n|=============================================================================|\n+-----------------------------------------------------------------------------+\n","output_type":"stream"}]},{"cell_type":"code","source":"!pip install torch\n!pip install bitsandbytes\n!pip install accelerate@git+https://github.com/huggingface/accelerate.git\n!pip install transformers@git+https://github.com/huggingface/transformers.git\n!pip install peft@git+https://github.com/huggingface/peft.git","metadata":{"execution":{"iopub.status.busy":"2023-07-19T19:55:28.411637Z","iopub.execute_input":"2023-07-19T19:55:28.412354Z","iopub.status.idle":"2023-07-19T19:57:19.628813Z","shell.execute_reply.started":"2023-07-19T19:55:28.412312Z","shell.execute_reply":"2023-07-19T19:57:19.627468Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (2.0.0)\nRequirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from torch) (3.12.2)\nRequirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch) (4.6.3)\nRequirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch) (1.12)\nRequirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch) (3.1)\nRequirement already satisfied: jinja2 in /opt/conda/lib/python3.10/site-packages (from torch) (3.1.2)\nRequirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2->torch) (2.1.3)\nRequirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch) (1.3.0)\nRequirement already satisfied: bitsandbytes in /opt/conda/lib/python3.10/site-packages (0.40.2)\nCollecting accelerate@ git+https://github.com/huggingface/accelerate.git\n Cloning https://github.com/huggingface/accelerate.git to /tmp/pip-install-_ch6qqcz/accelerate_8e14851a0410494099480e9ec574d9e1\n Running command git clone --filter=blob:none --quiet https://github.com/huggingface/accelerate.git /tmp/pip-install-_ch6qqcz/accelerate_8e14851a0410494099480e9ec574d9e1\n Resolved https://github.com/huggingface/accelerate.git to commit 12d5a2d0da42c5e46c5b14d29692a542c4201600\n Installing build dependencies ... \u001b[?25ldone\n\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n\u001b[?25hRequirement already satisfied: numpy>=1.17 in /opt/conda/lib/python3.10/site-packages (from accelerate@ git+https://github.com/huggingface/accelerate.git) (1.23.5)\nRequirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from accelerate@ git+https://github.com/huggingface/accelerate.git) (21.3)\nRequirement already satisfied: psutil in /opt/conda/lib/python3.10/site-packages (from accelerate@ git+https://github.com/huggingface/accelerate.git) (5.9.3)\nRequirement already satisfied: pyyaml in /opt/conda/lib/python3.10/site-packages (from accelerate@ git+https://github.com/huggingface/accelerate.git) (6.0)\nRequirement already satisfied: torch>=1.10.0 in /opt/conda/lib/python3.10/site-packages (from accelerate@ git+https://github.com/huggingface/accelerate.git) (2.0.0)\nRequirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.10/site-packages (from packaging>=20.0->accelerate@ git+https://github.com/huggingface/accelerate.git) (3.0.9)\nRequirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from torch>=1.10.0->accelerate@ git+https://github.com/huggingface/accelerate.git) (3.12.2)\nRequirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch>=1.10.0->accelerate@ git+https://github.com/huggingface/accelerate.git) (4.6.3)\nRequirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch>=1.10.0->accelerate@ git+https://github.com/huggingface/accelerate.git) (1.12)\nRequirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch>=1.10.0->accelerate@ git+https://github.com/huggingface/accelerate.git) (3.1)\nRequirement already satisfied: jinja2 in /opt/conda/lib/python3.10/site-packages (from torch>=1.10.0->accelerate@ git+https://github.com/huggingface/accelerate.git) (3.1.2)\nRequirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2->torch>=1.10.0->accelerate@ git+https://github.com/huggingface/accelerate.git) (2.1.3)\nRequirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch>=1.10.0->accelerate@ git+https://github.com/huggingface/accelerate.git) (1.3.0)\nCollecting transformers@ git+https://github.com/huggingface/transformers.git\n Cloning https://github.com/huggingface/transformers.git to /tmp/pip-install-o9wudcj4/transformers_8b661d77e9534c12b8c95e76168d378d\n Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers.git /tmp/pip-install-o9wudcj4/transformers_8b661d77e9534c12b8c95e76168d378d\n Resolved https://github.com/huggingface/transformers.git to commit ee4250a35f3bd5e9a4379b4907b3d8f9d5d9523f\n Installing build dependencies ... \u001b[?25ldone\n\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n\u001b[?25hRequirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (3.12.2)\nRequirement already satisfied: huggingface-hub<1.0,>=0.14.1 in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (0.16.4)\nRequirement already satisfied: numpy>=1.17 in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (1.23.5)\nRequirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (21.3)\nRequirement already satisfied: pyyaml>=5.1 in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (6.0)\nRequirement already satisfied: regex!=2019.12.17 in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (2023.6.3)\nRequirement already satisfied: requests in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (2.31.0)\nRequirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (0.13.3)\nRequirement already satisfied: safetensors>=0.3.1 in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (0.3.1)\nRequirement already satisfied: tqdm>=4.27 in /opt/conda/lib/python3.10/site-packages (from transformers@ git+https://github.com/huggingface/transformers.git) (4.65.0)\nRequirement already satisfied: fsspec in /opt/conda/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.14.1->transformers@ git+https://github.com/huggingface/transformers.git) (2023.6.0)\nRequirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.14.1->transformers@ git+https://github.com/huggingface/transformers.git) (4.6.3)\nRequirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.10/site-packages (from packaging>=20.0->transformers@ git+https://github.com/huggingface/transformers.git) (3.0.9)\nRequirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.10/site-packages (from requests->transformers@ git+https://github.com/huggingface/transformers.git) (3.1.0)\nRequirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->transformers@ git+https://github.com/huggingface/transformers.git) (3.4)\nRequirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests->transformers@ git+https://github.com/huggingface/transformers.git) (1.26.15)\nRequirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->transformers@ git+https://github.com/huggingface/transformers.git) (2023.5.7)\nCollecting peft@ git+https://github.com/huggingface/peft.git\n Cloning https://github.com/huggingface/peft.git to /tmp/pip-install-53elx_rz/peft_9bd21c705ee445a186caf6dd35169028\n Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft.git /tmp/pip-install-53elx_rz/peft_9bd21c705ee445a186caf6dd35169028\n Resolved https://github.com/huggingface/peft.git to commit e06d94ddeb6c70913593740618df76908b918d66\n Installing build dependencies ... \u001b[?25ldone\n\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n\u001b[?25hRequirement already satisfied: numpy>=1.17 in /opt/conda/lib/python3.10/site-packages (from peft@ git+https://github.com/huggingface/peft.git) (1.23.5)\nRequirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from peft@ git+https://github.com/huggingface/peft.git) (21.3)\nRequirement already satisfied: psutil in /opt/conda/lib/python3.10/site-packages (from peft@ git+https://github.com/huggingface/peft.git) (5.9.3)\nRequirement already satisfied: pyyaml in /opt/conda/lib/python3.10/site-packages (from peft@ git+https://github.com/huggingface/peft.git) (6.0)\nRequirement already satisfied: torch>=1.13.0 in /opt/conda/lib/python3.10/site-packages (from peft@ git+https://github.com/huggingface/peft.git) (2.0.0)\nRequirement already satisfied: transformers in /opt/conda/lib/python3.10/site-packages (from peft@ git+https://github.com/huggingface/peft.git) (4.32.0.dev0)\nRequirement already satisfied: accelerate in /opt/conda/lib/python3.10/site-packages (from peft@ git+https://github.com/huggingface/peft.git) (0.22.0.dev0)\nRequirement already satisfied: safetensors in /opt/conda/lib/python3.10/site-packages (from peft@ git+https://github.com/huggingface/peft.git) (0.3.1)\nRequirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.10/site-packages (from packaging>=20.0->peft@ git+https://github.com/huggingface/peft.git) (3.0.9)\nRequirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from torch>=1.13.0->peft@ git+https://github.com/huggingface/peft.git) (3.12.2)\nRequirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch>=1.13.0->peft@ git+https://github.com/huggingface/peft.git) (4.6.3)\nRequirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch>=1.13.0->peft@ git+https://github.com/huggingface/peft.git) (1.12)\nRequirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch>=1.13.0->peft@ git+https://github.com/huggingface/peft.git) (3.1)\nRequirement already satisfied: jinja2 in /opt/conda/lib/python3.10/site-packages (from torch>=1.13.0->peft@ git+https://github.com/huggingface/peft.git) (3.1.2)\nRequirement already satisfied: huggingface-hub<1.0,>=0.14.1 in /opt/conda/lib/python3.10/site-packages (from transformers->peft@ git+https://github.com/huggingface/peft.git) (0.16.4)\nRequirement already satisfied: regex!=2019.12.17 in /opt/conda/lib/python3.10/site-packages (from transformers->peft@ git+https://github.com/huggingface/peft.git) (2023.6.3)\nRequirement already satisfied: requests in /opt/conda/lib/python3.10/site-packages (from transformers->peft@ git+https://github.com/huggingface/peft.git) (2.31.0)\nRequirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /opt/conda/lib/python3.10/site-packages (from transformers->peft@ git+https://github.com/huggingface/peft.git) (0.13.3)\nRequirement already satisfied: tqdm>=4.27 in /opt/conda/lib/python3.10/site-packages (from transformers->peft@ git+https://github.com/huggingface/peft.git) (4.65.0)\nRequirement already satisfied: fsspec in /opt/conda/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.14.1->transformers->peft@ git+https://github.com/huggingface/peft.git) (2023.6.0)\nRequirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2->torch>=1.13.0->peft@ git+https://github.com/huggingface/peft.git) (2.1.3)\nRequirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.10/site-packages (from requests->transformers->peft@ git+https://github.com/huggingface/peft.git) (3.1.0)\nRequirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->transformers->peft@ git+https://github.com/huggingface/peft.git) (3.4)\nRequirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests->transformers->peft@ git+https://github.com/huggingface/peft.git) (1.26.15)\nRequirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->transformers->peft@ git+https://github.com/huggingface/peft.git) (2023.5.7)\nRequirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch>=1.13.0->peft@ git+https://github.com/huggingface/peft.git) (1.3.0)\n","output_type":"stream"}]},{"cell_type":"code","source":"# Uncomment if necessary\n# import os\n# os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\"","metadata":{"id":"Fv-BYdUbkGN_","execution":{"iopub.status.busy":"2023-07-19T19:57:19.631380Z","iopub.execute_input":"2023-07-19T19:57:19.631841Z","iopub.status.idle":"2023-07-19T19:57:19.639233Z","shell.execute_reply.started":"2023-07-19T19:57:19.631795Z","shell.execute_reply":"2023-07-19T19:57:19.636856Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"import torch\nfrom peft import PeftModel\nfrom transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig","metadata":{"id":"S9w8N6whkMkN","execution":{"iopub.status.busy":"2023-07-19T19:57:19.643165Z","iopub.execute_input":"2023-07-19T19:57:19.644123Z","iopub.status.idle":"2023-07-19T19:57:19.655142Z","shell.execute_reply.started":"2023-07-19T19:57:19.644089Z","shell.execute_reply":"2023-07-19T19:57:19.653951Z"},"trusted":true},"execution_count":13,"outputs":[]},{"cell_type":"code","source":"base_model_name_or_path = \"VMware/open-llama-13b-open-instruct\"\n\ntokenizer = AutoTokenizer.from_pretrained(base_model_name_or_path, padding_side=\"right\", use_fast=False)\n# tokenizer.pad_token = tokenizer.eos_token\n\nmodel = AutoModelForCausalLM.from_pretrained(\n base_model_name_or_path,\n load_in_4bit=True,\n torch_dtype=torch.float16,\n device_map=\"auto\",\n # load_in_8bit=True,\n # trust_remote_code=True,\n low_cpu_mem_usage=True,\n)","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":374,"referenced_widgets":["1fe3fa9e863a42eb9757f8a10f75872a","e08dfa2655fa449c8276f27298e886c3","7ff807b669a342cca49f28a4537ef3e5","52de7533762540a68744ef037db2979f","3364e9c9b3a84eea9e27318b91acc3d3","c3836ca7d81e47f4a5559e9a1613c152","e94be44a09d940139f6d3ad055574ef7","49e23dd98a5a4e2aa8e88c63425677a8","452c08414c444c81b548a932d8a3ebb3","a24a3df96d6f4d308cc37909de8a5034","9b749013b93942e48c2ab488f2dca6ae","0e804e7b582b4bd9b2211c53b6330e0c","533db68fdc2946868bc1601ab4546a58","e7b9fe9fb4bc48b187937814eec2533d","f04623254c7942aeac192df8be7e36b3","c043d94fc3d64cd7a1d972a55b371454","80ac78cbb27d4e608b01e23edde18479","b510c21e2c214b00aa90d28f9013bebc","46f55c99f4a745d4948a8aa92badb500","45a8c9fd178248f8a6fb4aa7751ed6fe","c445af2f18e14ce8bbb1ffe0bb305d9c","48342d708eb4476aa1378d61e8ab7740","be18bb17615c42dcac2da02f3adb9873","3e8700b08a0e4f61b06cb4c526155f8b","2ec802aa19784c53b8544c9d6dfea15a","4d3852167a444097998f1a12550a01f0","79c87a0549b643c8ba3d42094b331e42","23bc3f1d9c464beb83cc7aae3626f82a","46e54271029e4eb6a80a3bbd1d9856de","b2dad94d66174099845ab4efaca27ad6","8bc5899e089a4fc5a197369e9dd07cb3","d6db5dbd2e0e42c199eb0957124de7dd","e9be38fb432e48f6b395dca5112a9f4b","3ddb85b749264851bdf8a2ca12fab0bf","50f839d255b24244aa25c5885c11b9ec","1a2e50e7ead544329abaa3d9d82c8eef","b8f8ec84a0c34f70a9873e0d37e248eb","dee880fc5d764450a2eccfe88e62785e","bfb36134ae324b6b89b8ef05a3cc81b9","3005bbdd0eef4744b953696e0b625639","c691bc4969c04f72b060752945899490","a7c670c9f971404fb755c20a652d1a89","9b69fb6dd4fb4bcc9c2e2536d7024307","ba67e1e4c6794a809fd973fdbee704a3","0890c35ca8484cc1957332a4dff56054","b5fc9dfedb744180bae9ea7c37d8de46","8172544adaf44c3fa02879eb6c0244e3","04427a76181a41c0bbc1cbe52ea54dad","911bbd3a9a984b8cbabb866db94d5d85","7f1cce0992c344bcb0dbb72f0599b5a3","8d0bf3e406ee47c2abc4bc07c82376e5","029bc110fd564ac19c1175ef5667bc32","be452a9d43234658a9f16aa8878da863","52cab7f2bf6f4a228da8db3d592657f1","7a3fdb0585b24724841c78d3e95787c4","6b07d028df0149719e31263431c7d8d5","88c89d4697ec43dcbfe38ac1aa1cdd9b","a969a878c5c14780b5accf3dbc939bba","9ebfa21789e745df9297cbf090173cb6","540b301b5a604c5a9ce2561117e8dc83","15a19b8693bb4261b4e09867447addbb","f370be6f70564cc88d6359788fbd94ad","41edfb6dcc0c48e497c793d76937da4d","1474b973be8f4ea7a4f65217b4d0298b","3d50096c7aec4fd9a624286ac55ad530","8286e5823d7c4b398678ab937a6988d1","3d046bb7a3d94e33bfbe5f960aced875","76ff1176ea9d4665bd0a29240a5f7596","45865273b9594d00b947d4a0b0fba0cb","b1cf47cec90140689983d7591c806ce9","c79f4361b49f462182af72097ec739f9","8255b8279a094101a3aeb0be370a0e58","65eaaf0ea7e7482190d519d617bee9e4","6af3678a25424ed2961a3f16e63bd62c","b293409ca5364672b3264ac1890ed582","8b29d4d171b5434b8800263c08cb8d3a","5bbc5324b60947c4be0928c964392a48","d0c80a073ed1426d8521d2f0c9234089","9fd1e3930c41448f98d8eef2f9e30d53","1ff527d51f424853b014bfba773678ab","619d0b0ffde548f89c6ff453ff79bd96","7f1942d840f248a3a5a5f91fd797d123","d55fa94f11b548a0abd207b1dd006e10","de817732784e4ebaa8973c0002f3e4f8","565dd4962fb7470199d8f116fbc59312","e3afe28335584d9d9865a83cb55f8263","7772f5420e42492ca01d849f0b9695b1","10d4a8ed16a74ce3885554c97e90ef78","6d2fa1630e59477a8a797977793bb6a1","7dabd9cafbce449f8705b0ea4dbaec23","1972ab24b8374d51a6803e218c58cd27","0b001c210d234e26b9c75aba0e90818f","3100842ae9cd478e929b175f2a50368a","67c4325d42f04641ba2b8d12eb110c18","aa4d6f2e58cc4e59960291b01c404770","8175518eaa5145908c4b77177be4356a","0ca06674785c4c199d4535370993f905","7bf0b838fea34c368ff1e9c2aead905a","cb59e709c7ae4c3f9d2078a872005edd","c770ee957da7453795448b88ec3a1ca0","3527d18121ed47aeaa158208109891db","42c94720363342f1aa6b73bfaf3c3f1e","01cfcd6aed8e419380b976fa6f5f5a31","511de3d3aa8d4b1a83fd6e91c3badf65","6d7ea9921f5f4350b58c101edae8ffc8","0cf9ae568e5f426fbf922574de9668cf","2eae8053c9664750b4d00373fef3eef2","72a3d1ddeba9462cb25eaf749052ffd5","4c576158dbf44db9a18dcbdd3389d1d0","0dc59f2c7b1846228c5e81ed24fc931b"]},"id":"R-3H-7V6kPNc","outputId":"090feda0-2dd4-47aa-8b9a-81fbe9456955","execution":{"iopub.status.busy":"2023-07-19T19:57:19.657262Z","iopub.execute_input":"2023-07-19T19:57:19.657778Z","iopub.status.idle":"2023-07-19T19:59:44.805146Z","shell.execute_reply.started":"2023-07-19T19:57:19.657739Z","shell.execute_reply":"2023-07-19T19:59:44.804067Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"Loading checkpoint shards: 0%| | 0/3 [00:00, ?it/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"7c78ff5b6f96421c95fb137cde54ac25"}},"metadata":{}}]},{"cell_type":"code","source":"# Load the LoRA adapter\n\nlora_model_name_or_path = \"Gustrd/open-llama-13b-lora-cabra-adapter\"\nmodel = PeftModel.from_pretrained(model, lora_model_name_or_path)\n\nmodel.eval()\n\nif torch.__version__ >= \"2\":\n model = torch.compile(model)","metadata":{"execution":{"iopub.status.busy":"2023-07-19T19:59:44.808010Z","iopub.execute_input":"2023-07-19T19:59:44.808375Z","iopub.status.idle":"2023-07-19T20:00:04.653858Z","shell.execute_reply.started":"2023-07-19T19:59:44.808336Z","shell.execute_reply":"2023-07-19T20:00:04.652843Z"},"trusted":true},"execution_count":15,"outputs":[]},{"cell_type":"code","source":"def generate_prompt(instruction, input=None):\n if input:\n return f\"\"\"Abaixo está uma instrução que descreve uma tarefa, juntamente com uma entrada que fornece mais contexto. Escreva uma resposta que complete adequadamente o pedido.\n\n### Instrução:\n{instruction}\n\n### Entrada:\n{input}\n\n### Resposta:\"\"\"\n else:\n return f\"\"\"Abaixo está uma instrução que descreve uma tarefa. Escreva uma resposta que complete adequadamente o pedido.\n\n### Instrução:\n{instruction}\n\n### Resposta:\"\"\"","metadata":{"execution":{"iopub.status.busy":"2023-07-19T20:00:04.655336Z","iopub.execute_input":"2023-07-19T20:00:04.655727Z","iopub.status.idle":"2023-07-19T20:00:04.663159Z","shell.execute_reply.started":"2023-07-19T20:00:04.655690Z","shell.execute_reply":"2023-07-19T20:00:04.661256Z"},"trusted":true},"execution_count":16,"outputs":[]},{"cell_type":"code","source":"def instruct(\n instruction ,\n temperature=0.3,\n top_p=0.9,\n max_new_tokens=128,\n input=None,\n **kwargs,\n):\n prompt = generate_prompt(instruction, input)\n input_ids = tokenizer(prompt, return_tensors=\"pt\")[\"input_ids\"].to(model.device)\n input_length = input_ids.shape[1]\n\n generated_outputs = model.generate(\n input_ids=input_ids,\n generation_config=GenerationConfig(\n temperature=temperature,\n top_p=top_p,\n do_sample=temperature > 0.0,\n max_new_tokens=max_new_tokens,\n **kwargs,\n ),\n return_dict_in_generate=True,\n )\n generated_tokens = generated_outputs.sequences[0, input_length:]\n generated_text = tokenizer.decode(generated_tokens, skip_special_tokens=True)\n return generated_text","metadata":{"id":"FCKf170Mkhmr","execution":{"iopub.status.busy":"2023-07-19T20:09:38.274752Z","iopub.execute_input":"2023-07-19T20:09:38.275204Z","iopub.status.idle":"2023-07-19T20:09:38.283810Z","shell.execute_reply.started":"2023-07-19T20:09:38.275168Z","shell.execute_reply":"2023-07-19T20:09:38.282663Z"},"trusted":true},"execution_count":28,"outputs":[]},{"cell_type":"code","source":"instruct(\"Invente uma desculpa criativa pra dizer que não preciso ir à festa.\")","metadata":{"id":"E2s4Jvkoo_sK","execution":{"iopub.status.busy":"2023-07-19T20:02:15.844461Z","iopub.execute_input":"2023-07-19T20:02:15.845265Z","iopub.status.idle":"2023-07-19T20:02:59.098821Z","shell.execute_reply.started":"2023-07-19T20:02:15.845217Z","shell.execute_reply":"2023-07-19T20:02:59.097542Z"},"trusted":true},"execution_count":20,"outputs":[{"execution_count":20,"output_type":"execute_result","data":{"text/plain":"'\\nEu estou com uma doença.\\nEu estou comum.\\nEu estou com uma reunião de trabalho.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\nEu estou com uma coisa em casa.\\n'"},"metadata":{}}]},{"cell_type":"code","source":"instruct(\"Como posso começar a carreira como cientista de dados? Escreva na forma de lista.\")","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":53},"id":"FIKwEszPpR_j","outputId":"aa41d7d3-95a4-4efc-c345-4c694813f273","execution":{"iopub.status.busy":"2023-07-19T20:04:54.377891Z","iopub.execute_input":"2023-07-19T20:04:54.378479Z","iopub.status.idle":"2023-07-19T20:05:33.854815Z","shell.execute_reply.started":"2023-07-19T20:04:54.378442Z","shell.execute_reply":"2023-07-19T20:05:33.853646Z"},"trusted":true},"execution_count":24,"outputs":[{"execution_count":24,"output_type":"execute_result","data":{"text/plain":"'\\n1. Obtenha um grau de graduação em ciência da computação ou ciência da computação.\\n2. Obtenha um grau de mestrado em ciência da computação ou ciência da computação.\\n3. Obtenha experiência de trabalho em um campo de ciência da computação.\\n4. Escreva um currículo de formação de carreira.\\n5. Comece a pesquisar em empresas de tecnologia.\\n6. Comece a pesquisar em empresas de negócios.\\n7. Comece a pesquisar em empresas de saúde.\\n8. Comece a pesquisar em empresas de serviços públicos.\\n9. Comece a pesquisar em empresas de serviços financeiros.\\n10. Comece a pesquisar em empresas de serviços de consultoria.\\n11. Comece a pesquisar em'"},"metadata":{}}]},{"cell_type":"code","source":"instruct(\"Traduza o seguinte texto do inglês para o português do Brasil.\", input=\"The dog is white.\")","metadata":{"execution":{"iopub.status.busy":"2023-07-19T20:11:37.974999Z","iopub.execute_input":"2023-07-19T20:11:37.975419Z","iopub.status.idle":"2023-07-19T20:11:57.930270Z","shell.execute_reply.started":"2023-07-19T20:11:37.975388Z","shell.execute_reply":"2023-07-19T20:11:57.928981Z"},"trusted":true},"execution_count":32,"outputs":[{"execution_count":32,"output_type":"execute_result","data":{"text/plain":"'\\nO cão é branco.\\n\\n### Entrada:\\nO cão é branco.\\n\\n### Resposta:\\nO cão é branco.\\n\\n### Entrada:\\nO cão é branco.\\n\\n### Resposta:\\nO cão é branco.\\n\\n### Entrada:\\nO cão é branco.\\n\\n### Resposta:\\nO cão é branco.\\n\\n### Entrada:\\nO cão é branco.\\n\\n### Resposta:\\nO cão'"},"metadata":{}}]}]}
--------------------------------------------------------------------------------