1. ggml_README.txt - Hugging Face
... 2023-04-01 ggml model file magic: 0x67676a74 (ggjt in hex) ggml model file version: 1 Torrent contents: The fine tune ... migrate-ggml-2023-03-30-pr613.py.
The model is for: https://github.com/ggerganov/llama.cpp Date: 2023-04-01 ggml model file magic: 0x67676a74 (ggjt in hex) ggml model file version: 1 Torrent contents: The fine tune described at https://huggingface.co/chavinlo/gpt4-x-alpaca converted to ggml format from https://huggingface.co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g/blob/f267949dcd5a5e6451933cec3d0b5661f4f9c889/gpt-x-alpaca-13b-native-4bit-128g-cuda.pt Details about the GPTQ quantization process: https://huggingface.co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g/blob/f267949dcd5a5e6451933cec3d0b5661f4f9c889/README.md Tools used: [1] Conversion to ggml: https://github.com/ggerganov/llama.cpp/blob/3265b102beb7674d010644ca2a1bd30a58f9f6b5/convert.py and [2] [2] Added extra tokens: https://huggingface.co/chavinlo/alpaca-13b/blob/464a0bd1ec16f3a7d5295a0035aff87f307e62f1/added_tokens.json [3] Migration to the latest llama.cpp model format: https://github.com/ggerganov/llama.cpp/blob/3525899277d2e2bdc8ec3f0e6e40c47251608700/migrate-ggml-2023-03-30-pr613.py
2. Pi3141/alpaca-lora-30B-ggml · Issues with q4_1 - Hugging Face
Note that it still requires some conversions ( convert-unversioned-ggml-to-ggml.py then migrate-ggml-2023-03-30-pr613.py ). Maybe worth adding to the readme ...
Wanted to note that I was getting bad results with the q4_1 models (both with 30B and 13B/7B), but when I switched to q4_0 it was much better. Note that it still requires some conversions ( convert...
![Pi3141/alpaca-lora-30B-ggml · Issues with q4_1 - Hugging Face](https://i0.wp.com/cdn-thumbnails.huggingface.co/social-thumbnails/models/Pi3141/alpaca-lora-30B-ggml/discussions/8.png)
3. Edge AI Just Got Faster - Justine Tunney's
Apr 5, 2023 · This tool is the script that was recommended above, called migrate-ggml-2023-03-30-pr613.py. It was relatively straightforward to make, since it ...
Using mmap() to load LLaMA faster in parallel with less memory.
![Edge AI Just Got Faster - Justine Tunney's](https://i0.wp.com/justine.lol/mmap/llama.png)
4. dam5200/LlamaChat - Gitee
For the Alpaca model, you may need to use convert-unversioned-ggml-to-ggml.py; You may also need to use migrate-ggml-2023-03-30-pr613.py as well. For more ...
Gitee.com(码云) 是 OSCHINA.NET 推出的代码托管平台,支持 Git 和 SVN,提供免费的私有仓库托管。目前已有超过 1200万的开发者选择 Gitee。
![dam5200/LlamaChat - Gitee](https://i0.wp.com/gitee.com/static/images/logo_themecolor.png)
5. 外部流出に怯えないで日本語でジピる #GPT4All - Qiita
Jun 2, 2023 · ... ggml.bin python pygpt4all/pyllamacpp/llama.cpp/migrate-ggml-2023-03-30-pr613.py gpt4all-lora-quantized-ggml.bin gpt4all-lora-quantized-ggjt.bin ...
https://gpt4all.io/index.html からインストーラを落として導入しモデル vicuna-13b を取得して準備完了、日本語で会話できます以下すべて削除gpt4al…
![外部流出に怯えないで日本語でジピる #GPT4All - Qiita](https://qiita-user-contents.imgix.net/https%3A%2F%2Fcdn.qiita.com%2Fassets%2Fpublic%2Farticle-ogp-background-412672c5f0600ab9a64263b751f1bc81.png?ixlib=rb-4.0.0&w=1200&mark64=aHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTk3MiZoPTM3OCZ0eHQ9JUU1JUE0JTk2JUU5JTgzJUE4JUU2JUI1JTgxJUU1JTg3JUJBJUUzJTgxJUFCJUU2JTgwJUFGJUUzJTgxJTg4JUUzJTgxJUFBJUUzJTgxJTg0JUUzJTgxJUE3JUU2JTk3JUE1JUU2JTlDJUFDJUU4JUFBJTlFJUUzJTgxJUE3JUUzJTgyJUI4JUUzJTgzJTk0JUUzJTgyJThCJnR4dC1hbGlnbj1sZWZ0JTJDdG9wJnR4dC1jb2xvcj0lMjMyMTIxMjEmdHh0LWZvbnQ9SGlyYWdpbm8lMjBTYW5zJTIwVzYmdHh0LXNpemU9NTYmcz0yM2MyYjZkZGFlODE3MDFkYzMzNDYyYWQ4MmJiMDNiZA&mark-x=142&mark-y=57&blend64=aHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZoPTc2Jnc9NzcwJnR4dD0lNDBrZmp0JnR4dC1jb2xvcj0lMjMyMTIxMjEmdHh0LWZvbnQ9SGlyYWdpbm8lMjBTYW5zJTIwVzYmdHh0LXNpemU9MzYmdHh0LWFsaWduPWxlZnQlMkN0b3Amcz00MGYxYTQwNDQ2NjljYjM0NzExNjg0N2FlZjRiNmFmYg&blend-x=142&blend-y=486&blend-mode=normal&s=bc94f482e887889fb64b118133f9a59c)
6. Edge AI 变得更快|在C/C++ 中移植Facebook 的LLaMA 模型
Apr 6, 2023 · 现有用户需要将他们的GGML 权重转换为新的文件格式:. less migrate-ggml-2023-03-30-pr613.py # 查看手册. python migrate-ggml-2023-03-30-pr613.py ...
我们中的许多人都很高兴看到高质量的大型语言模型(LLM) 可供公众访问。我们中的许多人在让 LLaMA 在我们的边缘和个人计算机设备上运行时遇到了困难,使之成为可能的技巧是mmap()让我们使用 映射只读权重MAP_SHARED?这与传统上用于加载可执行软件的技术相同。是因为mmap()避免了复制页面的需要,还记得每次运行命令时让您等待权重加载的进度条吗,重新启动计算机后第一次加载模型时。
![Edge AI 变得更快|在C/C++ 中移植Facebook 的LLaMA 模型](https://i0.wp.com/simg.baai.ac.cn/uploads/2023/04/c520801592b1e4507d093cef078a7f7a.png)
7. Llama.cppとLoRAを使用してPC上で日本語LLMモデルを実行する
Apr 11, 2023 · python3 convert-unversioned-ggml-to-ggml.py models/alpaca_7b models/alpaca_7b/tokenizer.model python3 migrate-ggml-2023-03-30-pr613.py ...
PC上でLLMモデルを実行できるllama.cppと、LLMモデルをFineTuningするLoRAを使って、日本語でのLLM推論を行う方法を解説します。
![Llama.cppとLoRAを使用してPC上で日本語LLMモデルを実行する](https://i0.wp.com/miro.medium.com/v2/resize:fit:641/1*xsGOBXX2JkztBYG9IMPG4A.png)
8. llama.cppでalpaca(4bit量子化)を動かす - Qiita
Apr 5, 2023 · Copied! python convert-unversioned-ggml-to-ggml.py models/alpaca_7b models/alpaca_7b/tokenizer.model python migrate-ggml-2023- ...
llama.cppのコンパイルgit clone git@github.com:ggerganov/llama.cpp.gitcd llama.cppmake(投稿時点の最終コミットは53d…
![llama.cppでalpaca(4bit量子化)を動かす - Qiita](https://qiita-user-contents.imgix.net/https%3A%2F%2Fcdn.qiita.com%2Fassets%2Fpublic%2Farticle-ogp-background-412672c5f0600ab9a64263b751f1bc81.png?ixlib=rb-4.0.0&w=1200&mark64=aHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTk3MiZoPTM3OCZ0eHQ9bGxhbWEuY3BwJUUzJTgxJUE3YWxwYWNhJTI4NGJpdCVFOSU4NyU4RiVFNSVBRCU5MCVFNSU4QyU5NiUyOSVFMyU4MiU5MiVFNSU4QiU5NSVFMyU4MSU4QiVFMyU4MSU5OSZ0eHQtYWxpZ249bGVmdCUyQ3RvcCZ0eHQtY29sb3I9JTIzMjEyMTIxJnR4dC1mb250PUhpcmFnaW5vJTIwU2FucyUyMFc2JnR4dC1zaXplPTU2JnM9N2U2N2I2MDhhNTI2NWFiOTg1MWJlYzE5ZjJiOWIzMWY&mark-x=142&mark-y=57&blend64=aHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZoPTc2Jnc9NzcwJnR4dD0lNDBBU0lEJnR4dC1jb2xvcj0lMjMyMTIxMjEmdHh0LWZvbnQ9SGlyYWdpbm8lMjBTYW5zJTIwVzYmdHh0LXNpemU9MzYmdHh0LWFsaWduPWxlZnQlMkN0b3Amcz03ZjAyMjFhNTdkNjI5ZGMxMmU3ZTIyZGJmZjRhNWEzZQ&blend-x=142&blend-y=486&blend-mode=normal&s=8488d2242edb29df8627b3d4a730bc98)
9. GPT4all---本地部署的微型大语言模型- python_岩土 - 仿真秀
May 9, 2023 · 2 安装和试验. 从GPT4all的网站上下载Windows版本(gpt4all-installer-win64.exe),安装的过程中需要下载语言模型ggml ... migrate-ggml-2023-03-30-pr613.py ...
1 引言ChatGPT的诞生促使许多自然语言处理公司部署本地的大语言模型产品,其中最有影响力的是LLaMA(Large Language Model Meta AI)。Meta声称LLaMA的规模仅为竞争对手 ChatGPT 的十分之一,但性能却优于GPT-3模型。然而,LLaMA的模型大约有200G,对普通计算机来说仍然很难运行起来,于是出现了更加微型的大语言模型---GPT4all,GPT4a...
10. Chinese-LLaMA-Alpaca-debug - OpenI - 启智AI开源社区提供普惠算 ...
Mar 28, 2023 · cpp提供的 migrate-ggml-2023-03-30-pr613.py 将旧模型转换为新模型. Step 2: 生成量化版本模型. 根据需要转换的模型类型(LLaMA或Alpaca),将下载的 ...
Chinese-LLaMA-Alpaca-debug
11. GPT4ALLをCPUのみでpythonから実行する - Zenn
Apr 22, 2023 · cpp/migrate-ggml-2023-03-30-pr613.py models/gpt4all-lora-quantized-ggml.bin models/gpt4all-lora-quantized_ggjt.bin. 変換した学習済みモデルを ...
nomic-aiという企業から、ローカル環境で動作するGPT4ALLというモデルが公開されました。動作手順をまとめます。
![GPT4ALLをCPUのみでpythonから実行する - Zenn](https://i0.wp.com/res.cloudinary.com/zenn/image/upload/s--I3Sy4Q-d--/c_fit%2Cg_north_west%2Cl_text:notosansjp-medium.otf_55:GPT4ALL%25E3%2582%2592CPU%25E3%2581%25AE%25E3%2581%25BF%25E3%2581%25A7python%25E3%2581%258B%25E3%2582%2589%25E5%25AE%259F%25E8%25A1%258C%25E3%2581%2599%25E3%2582%258B%2Cw_1010%2Cx_90%2Cy_100/g_south_west%2Cl_text:notosansjp-medium.otf_37:kaeru39%2Cx_203%2Cy_121/g_south_west%2Ch_90%2Cl_fetch:aHR0cHM6Ly9zdG9yYWdlLmdvb2dsZWFwaXMuY29tL3plbm4tdXNlci11cGxvYWQvYXZhdGFyL2YwMzhiYTUxODcuanBlZw==%2Cr_max%2Cw_90%2Cx_87%2Cy_95/v1627283836/default/og-base-w1200-v2.png)
12. Serge나 Dalai를 비롯한 llama.cpp 계열 최신 프로그램에서 KoAlpaca ...
2023-03-31 16:37:37 답글. 지금 서지쪽 이슈란 보니까 모델이 너무 오래되면 ... migrate-ggml-2023-03-30-pr613.py 로 버전업 해줘야 함. 펼쳐보기▽. 자까놈. 유저 ...
도커 컨테이너에 이름 바꿔서 넣어봤는데 안뜸wsl2에다가 깔았고, 파일은 아래 주소꺼 씀. https://arca.live/b/alpaca/72681818너무 질문만 하는것 같지만 헬프좀 부탁함 흑흑
![Serge나 Dalai를 비롯한 llama.cpp 계열 최신 프로그램에서 KoAlpaca ...](http://ac.namu.la/20230331sac/3eafd01a00a085d51d47f454dd534319c424957537a76420c32716d3fed957a2.png?expires=1715992362&key=JGZcfkDqdZ80d5S1H2vWeQ)