├── README.md ├── Dockerfile.llamacpp └── Sakura-13B-Galgame-Colab.ipynb /README.md: -------------------------------------------------------------------------------- 1 | # SakuraLLM-Notebooks 2 | ## **:warning: 警告 :warning:** 3 | - **警告，Kaggle 官方已经采取措施封禁 SakuraLLM 所有模型，[参见](https://github.com/Isotr0py/SakuraLLM-Notebooks/issues/14) ，在 Kaggle 上使用 SakuraLLM 将会导致永久性封号。请转移至租卡或者利用机翻站算力共享工具（为防止滥用，请自行搜索）。** 4 | - **为防止滥用，本仓库的 Notebook 将不再提供内网穿透及 Sakura API 部署功能，仅提供翻译 Epub/Txt 功能。如需要使用 Sakura API，请自行部署。** 5 | 6 | ## 介绍 7 | - 在 colab 上运行[Sakura-13B-Galgame](https://github.com/SakuraLLM/Sakura-13B-Galgame)模型 8 | 9 | ## 致谢 10 | - [SakuraLLM/Sakura-13B-Galgame](https://github.com/SakuraLLM/Sakura-13B-Galgame) 11 | -------------------------------------------------------------------------------- /Dockerfile.llamacpp: -------------------------------------------------------------------------------- 1 | # adapted from https://github.com/vllm-project/vllm/blob/main/Dockerfile 2 | # Docker image to build llama-cpp-python for kaggle 3 | 4 | ARG CUDA_VERSION=12.4.1 5 | #################### BASE BUILD IMAGE #################### 6 | # prepare basic build environment 7 | FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu20.04 AS base 8 | 9 | ARG CUDA_VERSION=12.4.1 10 | ARG PYTHON_VERSION=3.10 11 | 12 | ENV DEBIAN_FRONTEND=noninteractive 13 | 14 | RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \ 15 | && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections \ 16 | && apt-get update -y \ 17 | && apt-get install -y ccache software-properties-common \ 18 | && add-apt-repository ppa:deadsnakes/ppa \ 19 | && apt-get update -y \ 20 | && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv \ 21 | && if [ "${PYTHON_VERSION}" != "3" ]; then update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1; fi \ 22 | && python3 --version 23 | 24 | RUN apt-get update -y \ 25 | && apt-get install -y git curl sudo 26 | 27 | # Install pip s.t. it will be compatible with our PYTHON_VERSION 28 | RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} 29 | RUN python3 -m pip --version 30 | 31 | # Workaround for https://github.com/openai/triton/issues/2507 and 32 | # https://github.com/pytorch/pytorch/issues/107960 -- hopefully 33 | # this won't be needed for future versions of this docker image 34 | # or future versions of triton. 35 | RUN ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/ 36 | 37 | WORKDIR /workspace 38 | 39 | #################### BASE BUILD IMAGE #################### 40 | 41 | #################### WHEEL BUILD IMAGE #################### 42 | FROM base AS build 43 | 44 | ARG PYTHON_VERSION=3.10 45 | 46 | # install compiler cache to speed up compilation leveraging local or remote caching 47 | RUN apt-get update -y && apt-get install -y ccache 48 | 49 | ENV CMAKE_ARGS="-DGGML_CUDA=on=on" 50 | RUN pip wheel --no-binary llama-cpp-python llama-cpp-python -i https://pypi.tuna.tsinghua.edu.cn/simple 51 | -------------------------------------------------------------------------------- /Sakura-13B-Galgame-Colab.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": { 6 | "id": "Tu2Qu_P9sK-G" 7 | }, 8 | "source": [ 9 | "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Isotr0py/SakuraLLM-Notebooks/blob/main/Sakura-13B-Galgame-Colab.ipynb)" 10 | ] 11 | }, 12 | { 13 | "cell_type": "code", 14 | "execution_count": 1, 15 | "metadata": { 16 | "colab": { 17 | "base_uri": "https://localhost:8080/" 18 | }, 19 | "id": "tvkI52m5DRsL", 20 | "outputId": "1d23e002-65ef-47dc-94fd-7436dcf7e671" 21 | }, 22 | "outputs": [ 23 | { 24 | "name": "stdout", 25 | "output_type": "stream", 26 | "text": [ 27 | "Fri Sep 6 02:46:52 2024 \n", 28 | "+---------------------------------------------------------------------------------------+\n", 29 | "| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |\n", 30 | "|-----------------------------------------+----------------------+----------------------+\n", 31 | "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", 32 | "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", 33 | "| | | MIG M. |\n", 34 | "|=========================================+======================+======================|\n", 35 | "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", 36 | "| N/A 45C P8 11W / 70W | 0MiB / 15360MiB | 0% Default |\n", 37 | "| | | N/A |\n", 38 | "+-----------------------------------------+----------------------+----------------------+\n", 39 | " \n", 40 | "+---------------------------------------------------------------------------------------+\n", 41 | "| Processes: |\n", 42 | "| GPU GI CI PID Type Process name GPU Memory |\n", 43 | "| ID ID Usage |\n", 44 | "|=======================================================================================|\n", 45 | "| No running processes found |\n", 46 | "+---------------------------------------------------------------------------------------+\n" 47 | ] 48 | } 49 | ], 50 | "source": [ 51 | "#@title 初始化环境\n", 52 | "#@markdown 挂载Google网盘\n", 53 | "Mount_GDrive = False # @param {type:\"boolean\"}\n", 54 | "if Mount_GDrive:\n", 55 | " from google.colab import drive\n", 56 | "\n", 57 | " drive.mount('/content/gdrive')\n", 58 | " ROOT_PATH = \"/content/gdrive/MyDrive\"\n", 59 | "else:\n", 60 | " ROOT_PATH = \"/content\"\n", 61 | "!nvidia-smi" 62 | ] 63 | }, 64 | { 65 | "cell_type": "code", 66 | "execution_count": null, 67 | "metadata": { 68 | "colab": { 69 | "base_uri": "https://localhost:8080/" 70 | }, 71 | "id": "gelzXVWEGxZw", 72 | "outputId": "782185e7-1ded-4c4d-a075-4d90114ffaa7" 73 | }, 74 | "outputs": [], 75 | "source": [ 76 | "#@title 安装依赖\n", 77 | "%cd $ROOT_PATH\n", 78 | "!git clone https://github.com/SakuraLLM/Sakura-13B-Galgame.git\n", 79 | "\n", 80 | "%cd Sakura-13B-Galgame\n", 81 | "!git pull\n", 82 | "\n", 83 | "LLAMA_CPP = True # @param {type:\"boolean\"}\n", 84 | "VLLM = True # @param {type:\"boolean\"}\n", 85 | "if LLAMA_CPP:\n", 86 | " !pip install \"diskcache>=5.6.1\"\n", 87 | " !pip install llama-cpp-python -i https://abetlen.github.io/llama-cpp-python/whl/cu122\n", 88 | "if VLLM:\n", 89 | " !pip install -U transformers tokenizers\n", 90 | " !pip install vllm\n", 91 | "!pip install -q -r requirements.txt\n", 92 | "!pip install -q pyngrok" 93 | ] 94 | }, 95 | { 96 | "cell_type": "code", 97 | "execution_count": null, 98 | "metadata": { 99 | "cellView": "form", 100 | "id": "DUQnJQ96Jau8" 101 | }, 102 | "outputs": [], 103 | "source": [ 104 | "#@title 翻译EPUB\n", 105 | "from huggingface_hub import hf_hub_download\n", 106 | "\n", 107 | "repo_id = \"SakuraLLM/Sakura-14B-Qwen2beta-v0.9.2-GGUF\"\n", 108 | "MODEL = \"sakura-14b-qwen2beta-v0.9.2-q4km.gguf\" # @param [\"sakura-14b-qwen2beta-v0.9.2-iq4xs.gguf\", \"sakura-14b-qwen2beta-v0.9.2-q2k.gguf\", \"sakura-14b-qwen2beta-v0.9.2-q3km.gguf\", \"sakura-14b-qwen2beta-v0.9.2-q4km.gguf\", \"sakura-14b-qwen2beta-v0.9.2-q6k.gguf\"]\n", 109 | "hf_hub_download(repo_id=repo_id, filename=MODEL, local_dir=\"models/\")\n", 110 | "MODEL_PATH = f\"./models/{MODEL}\"\n", 111 | "EPUB_PATH = \"novel.epub\" # @param {type:\"string\"}\n", 112 | "GPT_DICT_PATH = \"dict.txt\" # @param {type:\"string\"}\n", 113 | "OUTPUT_FOLDER = \"output/\" # @param {type:\"string\"}\n", 114 | "\n", 115 | "%cd $ROOT_PATH/Sakura-13B-Galgame\n", 116 | "!python translate_epub.py \\\n", 117 | " --model_name_or_path $MODEL_PATH \\\n", 118 | " --llama_cpp \\\n", 119 | " --use_gpu \\\n", 120 | " --model_version 0.9 \\\n", 121 | " --trust_remote_code \\\n", 122 | " --data_path $EPUB_PATH \\\n", 123 | " --gpt_dict_path $GPT_DICT_PATH \\\n", 124 | " --output_folder $OUTPUT_FOLDER" 125 | ] 126 | }, 127 | { 128 | "cell_type": "code", 129 | "execution_count": null, 130 | "metadata": { 131 | "id": "S9gYbA1yMVND" 132 | }, 133 | "outputs": [], 134 | "source": [ 135 | "#@title 翻译文本文件\n", 136 | "from huggingface_hub import hf_hub_download\n", 137 | "\n", 138 | "repo_id = \"SakuraLLM/Sakura-14B-Qwen2beta-v0.9.2-GGUF\"\n", 139 | "MODEL = \"sakura-14b-qwen2beta-v0.9.2-q4km.gguf\" # @param [\"sakura-14b-qwen2beta-v0.9.2-iq4xs.gguf\", \"sakura-14b-qwen2beta-v0.9.2-q2k.gguf\", \"sakura-14b-qwen2beta-v0.9.2-q3km.gguf\", \"sakura-14b-qwen2beta-v0.9.2-q4km.gguf\", \"sakura-14b-qwen2beta-v0.9.2-q6k.gguf\"]\n", 140 | "hf_hub_download(repo_id=repo_id, filename=MODEL, local_dir=\"models/\")\n", 141 | "MODEL_PATH = f\"./models/{MODEL}\"\n", 142 | "DATA_PATH = \"novel.txt\" # @param {type:\"string\"}\n", 143 | "OUTPUT_PATH = \"novel_translated.txt\" # @param {type:\"string\"}\n", 144 | "\n", 145 | "%cd $ROOT_PATH/Sakura-13B-Galgame\n", 146 | "!python translate_novel.py \\\n", 147 | " --model_name_or_path $MODEL_PATH \\\n", 148 | " --llama_cpp \\\n", 149 | " --use_gpu \\\n", 150 | " --model_version 0.9 \\\n", 151 | " --trust_remote_code \\\n", 152 | " --data_path $DATA_PATH \\\n", 153 | " --output_path $OUTPUT_PATH" 154 | ] 155 | } 156 | ], 157 | "metadata": { 158 | "accelerator": "GPU", 159 | "colab": { 160 | "provenance": [] 161 | 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