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成都手机网站建设价格,重庆网站建设的目的,江津区做网站,自媒体视频剪辑培训班ChatGLM-6B是清华大学知识工程和数据挖掘小组发布的一个类似ChatGPT的开源对话机器人#xff0c;由于该模型是经过约1T标识符的中英文训练#xff0c;且大部分都是中文#xff0c;因此十分适合国内使用。 预期环境 本机电脑备注#xff1a; Win10专业版 32G内存256固态系统…ChatGLM-6B是清华大学知识工程和数据挖掘小组发布的一个类似ChatGPT的开源对话机器人由于该模型是经过约1T标识符的中英文训练且大部分都是中文因此十分适合国内使用。 预期环境 本机电脑备注 Win10专业版 32G内存256固态系统盘1T机械硬盘4G英伟达显卡 python版本3.10.7 下载代码GLM-6B 依赖Python库及版本 文件记录了ChatGLM-6B依赖的Python库及版本如下
命令执行 pip install -r requirements.txtLuckyLucky MINGW64 /e/ikbp/ChatGLM-6B (main) $ pip install -r requirements.txt Collecting protobufDownloading protobuf-4.23.4-cp310-abi3-win_amd64.whl (422 kB)————————————– 422.⁵⁄₄₂₂.5 kB 2.6 MB/s eta 0:00:00 Collecting transformers4.27.1Downloading transformers-4.27.1-py3-none-any.whl (6.7 MB)—————————————- 6.⁷⁄₆.7 MB 10.0 MB/s eta 0:00:00 Collecting cpm_kernelsDownloading cpm_kernels-1.0.11-py3-none-any.whl (416 kB)————————————- 416.⁶⁄₄₁₆.6 kB 12.7 MB/s eta 0:00:00 Collecting torch1.10Downloading torch-2.0.1-cp310-cp310-win_amd64.whl (172.3 MB)————————————– 172.³⁄₁₇₂.3 MB 3.3 MB/s eta 0:00:00 Collecting gradioDownloading gradio-3.36.1-py3-none-any.whl (19.8 MB)—————————————- 19.⁸⁄₁₉.8 MB 4.0 MB/s eta 0:00:00 Collecting mdtex2htmlDownloading mdtex2html-1.2.0-py3-none-any.whl (13 kB) Collecting sentencepieceDownloading sentencepiece-0.1.99-cp310-cp310-win_amd64.whl (977 kB)————————————– 977.⁵⁄₉₇₇.5 kB 8.9 MB/s eta 0:00:00 Collecting accelerateDownloading accelerate-0.20.3-py3-none-any.whl (227 kB)————————————- 227.⁶⁄₂₂₇.6 kB 14.5 MB/s eta 0:00:00 Collecting huggingface-hub1.0,0.11.0Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)————————————– 268.⁸⁄₂₆₈.8 kB 8.1 MB/s eta 0:00:00 Collecting tqdm4.27Downloading tqdm-4.65.0-py3-none-any.whl (77 kB)—————————————- 77.¹⁄₇₇.1 kB 4.2 MB/s eta 0:00:00 Collecting filelockDownloading filelock-3.12.2-py3-none-any.whl (10 kB) Collecting numpy1.17Downloading numpy-1.25.0-cp310-cp310-win_amd64.whl (15.0 MB)—————————————- 15.0/15.0 MB 4.5 MB/s eta 0:00:00 Collecting requestsDownloading requests-2.31.0-py3-none-any.whl (62 kB)—————————————- 62.⁶⁄₆₂.6 kB ? 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Installing collected packages: tokenizers, sentencepiece, pytz, pydub, mpmath, ffmpy, cpm_kernels, websockets, urllib3, uc-micro-py, tzdata, typing-extensions, toolz, sympy, sniffio, six, semantic-version, rpds-py, regex, pyyaml, python-multipart, pyparsing, pygments, psutil, protobuf, pillow, packaging, orjson, numpy, networkx, multidict, mdurl, markupsafe, markdown, latex2mathml, kiwisolver, idna, h11, fsspec, frozenlist, fonttools, filelock, exceptiongroup, cycler, colorama, charset-normalizer, certifi, attrs, async-timeout, annotated-types, aiofiles, yarl, tqdm, requests, referencing, python-dateutil, pydantic-core, mdtex2html, markdown-it-py, linkify-it-py, jinja2, contourpy, click, anyio, aiosignal, uvicorn, torch, starlette, pydantic, pandas, mdit-py-plugins, matplotlib, jsonschema-specifications, huggingface-hub, httpcore, aiohttp, transformers, jsonschema, httpx, fastapi, accelerate, gradio-client, altair, gradioRunning setup.py install for ffmpy: startedRunning setup.py install for ffmpy: finished with status done Successfully installed accelerate-0.20.3 aiofiles-23.1.0 aiohttp-3.8.4 aiosignal-1.3.1 altair-5.0.1 annotated-types-0.5.0 anyio-3.7.1 async-timeout-4.0.2 attrs-23.1.0 certifi-2023.5.7 charset-normalizer-3.2.0 click-8.1.4 colorama-0.4.6 contourpy-1.1.0 cpm_kernels-1.0.11 cycler-0.11.0 exceptiongroup-1.1.2 fastapi-0.100.0 ffmpy-0.3.0 filelock-3.12.2 fonttools-4.40.0 frozenlist-1.3.3 fsspec-2023.6.0 gradio-3.36.1 gradio-client-0.2.7 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 idna-3.4 jinja2-3.1.2 jsonschema-4.18.0 jsonschema-specifications-2023.6.1 kiwisolver-1.4.4 latex2mathml-3.76.0 linkify-it-py-2.0.2 markdown-3.4.3 markdown-it-py-2.2.0 markupsafe-2.1.3 matplotlib-3.7.2 mdit-py-plugins-0.3.3 mdtex2html-1.2.0 mdurl-0.1.2 mpmath-1.3.0 multidict-6.0.4 networkx-3.1 numpy-1.25.0 orjson-3.9.2 packaging-23.1 pandas-2.0.3 pillow-10.0.0 protobuf-4.23.4 psutil-5.9.5 pydantic-2.0.2 pydantic-core-2.1.2 pydub-0.25.1 pygments-2.15.1 pyparsing-3.0.9 python-dateutil-2.8.2 python-multipart-0.0.6 pytz-2023.3 pyyaml-6.0 referencing-0.29.1 regex-2023.6.3 requests-2.31.0 rpds-py-0.8.8 semantic-version-2.10.0 sentencepiece-0.1.99 six-1.16.0 sniffio-1.3.0 starlette-0.27.0 sympy-1.12 tokenizers-0.13.3 toolz-0.12.0 torch-2.0.1 tqdm-4.65.0 transformers-4.27.1 typing-extensions-4.7.1 tzdata-2023.3 uc-micro-py-1.0.2 urllib3-2.0.3 uvicorn-0.22.0 websockets-11.0.3 yarl-1.9.2[notice] A new release of pip available: 22.2.2 - 23.1.2 [notice] To update, run: python.exe -m pip install –upgrade pip 预训练文件 下载INT4量化后的预训练结果文件 INT4量化的预训练文件下载地址https://huggingface.co/THUDM/chatglm-6b-int4/tree/main。需要注意的是在GitHub上官方提供了模型在清华云上的下载地址但是那个只包含预训练结果文件即bin文件但实际上ChatGLM-6B的运行需要模型的配置文件即config.json等如下图所示
从HuggingFace上下载所有文件到本地。上述文件全部下载之后保存到本地的一个目录下即可我保存在E:\ikbp\chatglm-6b-int4
如果以上代码输出的是True那么恭喜你你安装的是cuda版本的torch注意有显卡也需要大家下载cuda和cudann安装成功才可以这部分大家可以去网上找教程。 ##WinGPU部署方案 WinGPU方案的必备条件 部署GPU版本的ChatGLM-6B需要安装cuda版本的torch大家需要检测自己的torch是否正确可以通过如下命令检查下面是python代码 pip install torch下载cuda和cudann安装 win10安装CUDA和cuDNN详解 下载和安装CUDA 下载CUDA 下载地址https://developer.nvidia.com/cuda-downloads 直接终端输入命令nvcc –version即可显示 下载和安装cuDNN 下载cuDNN 下载地址https://developer.nvidia.com/rdp/cudnn-download 选择合适的版本下载就行啦注意一定要选择和你安装的CUDA匹配的版本。 附件 https://online2023.worldaic.com.cn/exhibition ChatGLM-6B模型——Windows6GB显卡本地部署 ChatGLM-6B/blob/main/requirements.txt THUDM chatglm-6b-int4 win10安装CUDA和cuDNN详解 CUDA Toolkit 12.2 Downloads cuDNN Archive