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...
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.
4. GGML – AI at the Edge - Hacker News
Jun 6, 2023 · ggml and llama.cpp are such a good platform for local LLMs, having some financial backing to support development is brilliant.
samwillis on June 6, 2023 | next [–]
5. GPT4All - 外部流出に怯えないで日本語でジピる - 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…
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。
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。
8. GPT4all---本地部署的微型大语言模型- python_岩土 - 仿真秀
... ggml-gpt4all-j-v1.2-jazzy.bin，这个文件 ... migrate-ggml-2023-03-30-pr613.py，转换 ... 首次发布时间：2023-05-09. 最近编辑：1年前. 点赞. 收藏. 还没有评论 ...
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...
9. 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…
10. 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 ...
本项目作者网页：https://justine.lol/index.html 本项目github网址：https://github.com/ggerganov/llama.cpp 当 Meta 在 2 月份发布 LLaMA 时，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...
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。
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
13. llama.cpp+vicuna 저사양컴(맥북에어m1)에서 돌려보는 방법 - 클리앙
Apr 6, 2023 · use convert-pth-to-ggml.py to regenerate from original pth use migrate-ggml-2023-03-30-pr613.py if you deleted originals
아직 본격적인 컴 주문전(어짜피 케이스 아직 안풀려서요)이고 런팟이나 맥북에어로 테스트 가능한 한도내에서 해보고 있는데요 맥북에어m1으로 vicuna7b 돌리는거 간단하네요 우선 https://huggingface.co/eachadea/ggml-vicuna-7b-4bit 여기가서 해당 bin 파일을 다운로드 받습니다 (cpu만 사용하고 램이 6기가만 넘으면 된다고 되어있네요 4bit 버전이고요) 그리고 https://github.com/ggerganov/llama.cpp/blob/master/README.md 여기서 llama.cpp에 대한거 읽습니다 (귀찮으면 밑에꺼 그대로 치세요 - 윈도우는 조금 다르니 윈도우에서 쓰실분들은 읽으시는게) 터미널 열고 git clone https://github.com/ggerganov/llama.cpp (엔터) cd llama.cpp (엔터) make (엔터) 끝입니다.....이제 llama.cpp라는 폴더 밑에 models라는 폴더가 생겼을텐데 거기에 아까 받은 bin 파일 넣으면 끝입니다 ./main -m ./models/ggml-vicuna-7b-4bit-rev1.bin --interactive-first (엔터) 이제 interactive 모드로 들어가서 대화하면 됩니다 물론 느립니다.....만 제법 괜찮은 대답을 합니다
