見出し画像

PaperspaceでLLaMA2を試してみた

alex123bg

StableDiffusionをPaperspace上で動かして遊んでいます。いろいろ試しているうちに、画像生成だけでなく、ChatGPTのようなテキスト生成もしてみたくなりました。
そこで、Paperspaceのブログの解説記事で、試しに動かしてみようと思います。ブログはこちらです。

チュートリアルに書いてあること

はじめの説明文を和訳、要約をBingGPTにしてもらいました。
『自然言語処理（NLP）は、人間が使う言語をコンピュータで分析する技術、機械学習の一分野です。最近では、事前学習された生成モデルであるGPT（Generative Pretrained Transformer）が多くのウェブサイトやインターフェースで利用されています。その中でも、完全にオープンソースで公開されたGPTモデルがAIコミュニティで注目を集めています。LLaMAというプロジェクトは、オープンソースのデータセットと学習方法で高性能なGPTモデルを作成し、複雑な入力に対応できるように改良したり、派生プロジェクトを生み出したりしています。
　この記事では、LLaMAの最新版であるLLaMA 2について紹介します。LLaMA 2は、データセットの拡大、人間の好みに応じてチャットモードを調整、パラメータ数の増加などの改良が施されています。新しい機能や更新点について詳しく説明した後、PaperspaceのノートブックでOogaboogaというテキスト生成のWebUIを使ってモデルを実行する方法を示します。
　無料のGPUを使ってノートブックを起動するには、ページの上部とデモの前にあるRun on Gradientのリンクをクリックしてください。』

途中の説明は飛ばして、デモに進みます。

デモ

説明文をGoogle翻訳します
『ここで、Gradient Notebook にジャンプして、独自のプロジェクトで LLaMA 2 を開始する方法を見てみましょう。 これを実行するために必要なのは Gradient アカウントだけなので、無料の GPU サービスにアクセスできます。 このようにして、必要に応じて、A100 GPU で 70B モデルを使用するようにスケールアップすることもできます。 Gradio ベースの Oogabooga Text Generation Web UI で実行される GPTQ バージョンを使用してモデルを実行します。 このデモでは、ノートブックをセットアップし、モデルをダウンロードし、推論を実行する方法を示します。』

デモプロジェクトの起動リンク

クリックしてみます。そのままクリックすると同じ画面で遷移するので、別タブで開きます。

初期画面

セットアップ

『まずは環境を整えることから始めます。 WebUI リポジトリをルート ディレクトリとしてノートブックを起動しました。 まず、llama.ipynb ノートブック ファイルを開いてみましょう。 これには、Web UI でモデルを実行するために必要なものがすべて含まれています。 まず、提供されているrequirements.txtファイルを使用して要件をインストールします。 いくつかの追加パッケージも更新する必要があります。 以下のセルを実行するとセットアップが完了します。』
とのことなので、Files→llama.ipynb を開いてから、START MACHINE してみます。

llama.ipynb

START MACHINE クリックすると、いまはマシンの空きがない様子。

マシンの空きが無い

パラメータを Free-P5000 に変えたところ、マシンは起動して、エラーが出ています。

https://console.paperspace.com/t33haawew8/notebook/rf4n6i02eqobzy8?machine=Free-P5000&ref=blog.paperspace.com&_gl=1*l4fy2v*_gcl_au*MTU1NDUxNTIxMS4xNzAxOTQ5Mzgx&file=%2FREADME.md

RELOADしたり、もう一度、 llama.ipynb を開いたりしました。

仮想マシン起動後

Setup: を Run します。

SetupをRun
!pip install -r requirements.txt
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!pip install -U datasets transformers tokenizers pydantic auto_gptq gradio
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Collecting nvidia-cudnn-cu12==8.9.2.26
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Collecting nvidia-cuda-nvrtc-cu12==12.1.105
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Collecting nvidia-cufft-cu12==11.0.2.54
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Collecting nvidia-cusolver-cu12==11.4.5.107
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Collecting nvidia-cuda-runtime-cu12==12.1.105
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Collecting nvidia-cusparse-cu12==12.1.0.106
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Collecting sympy
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Collecting nvidia-cuda-cupti-cu12==12.1.105
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Collecting nvidia-cublas-cu12==12.1.3.1
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Collecting nvidia-nccl-cu12==2.18.1
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Collecting nvidia-curand-cu12==10.3.2.106
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Collecting nvidia-nvtx-cu12==12.1.105
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Collecting triton==2.1.0
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Collecting nvidia-nvjitlink-cu12
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Collecting anyio<4.0.0,>=3.7.1
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Collecting starlette<0.28.0,>=0.27.0
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Collecting httpcore==1.*
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Collecting h11<0.15,>=0.13
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Collecting uc-micro-py
  Downloading uc_micro_py-1.0.2-py3-none-any.whl (6.2 kB)
Collecting mpmath>=0.19
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Building wheels for collected packages: llama-cpp-python, peft, ffmpy
  Building wheel for llama-cpp-python (pyproject.toml) ... done
  Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.50-cp39-cp39-linux_x86_64.whl size=204024 sha256=511158addaff65c6e4975d77188ba86e545abc5e2be2c09ad537969d55fdd89b
  Stored in directory: /root/.cache/pip/wheels/5f/32/00/68c22a9aef38784afb1998077e3c501a15f209cb262ee971d0
  Building wheel for peft (pyproject.toml) ... done
  Created wheel for peft: filename=peft-0.7.2.dev0-py3-none-any.whl size=169329 sha256=7a409f6f7f5bb4d9e6b61af2ddb7e1b9a60d7b8f1b0106fa8b6929c9e4b11790
  Stored in directory: /tmp/pip-ephem-wheel-cache-lvdbgll_/wheels/45/06/33/0048c03714539b315d99beef9ea6b6dad0fd5750105e221583
  Building wheel for ffmpy (setup.py) ... done
  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=55defb8e92cfb1924ef6b5cf02f60d5384e193a249495c9f72ca7cfe16e0e3b2
  Stored in directory: /root/.cache/pip/wheels/3c/79/71/1b3a0bc0ca224fc8af5087101cf28adc0054ea6521c4b758ec
Successfully built llama-cpp-python peft ffmpy
Installing collected packages: tokenizers, safetensors, pydub, pulp, mpmath, ffmpy, bitsandbytes, websockets, uc-micro-py, typing-extensions, triton, sympy, semantic-version, rwkv, python-multipart, Pillow, orjson, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, h11, anyio, aiofiles, uvicorn, starlette, nvidia-cusparse-cu12, nvidia-cudnn-cu12, mdit-py-plugins, llama-cpp-python, linkify-it-py, huggingface-hub, httpcore, transformers, nvidia-cusolver-cu12, httpx, fastapi, altair, torch, gradio_client, gradio, flexgen, accelerate, peft
  Attempting uninstall: tokenizers
    Found existing installation: tokenizers 0.12.1
    Uninstalling tokenizers-0.12.1:
      Successfully uninstalled tokenizers-0.12.1
  Attempting uninstall: typing-extensions
    Found existing installation: typing_extensions 4.4.0
    Uninstalling typing_extensions-4.4.0:
      Successfully uninstalled typing_extensions-4.4.0
  Attempting uninstall: Pillow
    Found existing installation: Pillow 9.2.0
    Uninstalling Pillow-9.2.0:
      Successfully uninstalled Pillow-9.2.0
  Attempting uninstall: anyio
    Found existing installation: anyio 3.6.2
    Uninstalling anyio-3.6.2:
      Successfully uninstalled anyio-3.6.2
  Attempting uninstall: huggingface-hub
    Found existing installation: huggingface-hub 0.12.0
    Uninstalling huggingface-hub-0.12.0:
      Successfully uninstalled huggingface-hub-0.12.0
  Attempting uninstall: transformers
    Found existing installation: transformers 4.21.3
    Uninstalling transformers-4.21.3:
      Successfully uninstalled transformers-4.21.3
  Attempting uninstall: torch
    Found existing installation: torch 1.12.1+cu116
    Uninstalling torch-1.12.1+cu116:
      Successfully uninstalled torch-1.12.1+cu116
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchvision 0.13.1+cu116 requires torch==1.12.1, but you have torch 2.1.2 which is incompatible.
torchaudio 0.12.1+cu116 requires torch==1.12.1, but you have torch 2.1.2 which is incompatible.
Successfully installed Pillow-10.1.0 accelerate-0.25.0 aiofiles-23.2.1 altair-5.2.0 anyio-3.7.1 bitsandbytes-0.38.1 fastapi-0.105.0 ffmpy-0.3.1 flexgen-0.1.7 gradio-3.28.3 gradio_client-0.1.4 h11-0.14.0 httpcore-1.0.2 httpx-0.26.0 huggingface-hub-0.17.3 linkify-it-py-1.0.3 llama-cpp-python-0.1.50 mdit-py-plugins-0.3.3 mpmath-1.3.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.18.1 nvidia-nvjitlink-cu12-12.3.101 nvidia-nvtx-cu12-12.1.105 orjson-3.9.10 peft-0.7.2.dev0 pulp-2.7.0 pydub-0.25.1 python-multipart-0.0.6 rwkv-0.7.3 safetensors-0.3.1 semantic-version-2.10.0 starlette-0.27.0 sympy-1.12 tokenizers-0.13.3 torch-2.1.2 transformers-4.29.1 triton-2.1.0 typing-extensions-4.9.0 uc-micro-py-1.0.2 uvicorn-0.25.0 websockets-12.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Requirement already satisfied: datasets in /usr/local/lib/python3.9/dist-packages (2.4.0)
Collecting datasets
  Downloading datasets-2.16.0-py3-none-any.whl (507 kB)
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Collecting transformers
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Requirement already satisfied: tokenizers in /usr/local/lib/python3.9/dist-packages (0.13.3)
Collecting tokenizers
  Using cached tokenizers-0.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)
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Collecting pydantic
  Using cached pydantic-2.5.3-py3-none-any.whl (381 kB)
Collecting auto_gptq
  Downloading auto_gptq-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB)
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Requirement already satisfied: gradio in /usr/local/lib/python3.9/dist-packages (3.28.3)
Collecting gradio
  Using cached gradio-4.12.0-py3-none-any.whl (16.6 MB)
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Collecting pyarrow-hotfix
  Downloading pyarrow_hotfix-0.6-py3-none-any.whl (7.9 kB)
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Collecting huggingface-hub>=0.19.4
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Installing collected packages: websockets, typer, tomlkit, rouge, pydantic-core, pyarrow-hotfix, gekko, fsspec, annotated-types, pydantic, huggingface-hub, tokenizers, gradio-client, transformers, gradio, datasets, auto_gptq
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    Found existing installation: typer 0.4.2
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    Found existing installation: tokenizers 0.13.3
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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
thinc 8.1.7 requires pydantic!=1.8,!=1.8.1,<1.11.0,>=1.7.4, but you have pydantic 2.5.3 which is incompatible.
spacy 3.4.1 requires pydantic!=1.8,!=1.8.1,<1.10.0,>=1.7.4, but you have pydantic 2.5.3 which is incompatible.
spacy 3.4.1 requires typer<0.5.0,>=0.3.0, but you have typer 0.9.0 which is incompatible.
confection 0.0.4 requires pydantic!=1.8,!=1.8.1,<1.11.0,>=1.7.4, but you have pydantic 2.5.3 which is incompatible.
Successfully installed annotated-types-0.6.0 auto_gptq-0.6.0 datasets-2.16.0 fsspec-2023.10.0 gekko-1.0.6 gradio-4.12.0 gradio-client-0.8.0 huggingface-hub-0.20.1 pyarrow-hotfix-0.6 pydantic-2.5.3 pydantic-core-2.14.6 rouge-1.0.1 tokenizers-0.15.0 tomlkit-0.12.0 transformers-4.36.2 typer-0.9.0 websockets-11.0.3
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

モデルのダウンロード

『Oogabooga テキスト生成 Web UI は、GPT モデルを使用した推論とトレーニングの実行を非常に簡単にするように設計されており、特に HuggingFace 形式のモデルで動作します。 これらの大きなファイルへのアクセスを容易にするために、HuggingFace モデルを簡単にダウンロードできるモデル ダウンロード スクリプトが提供されています。 2 番目のコード セルのコードを実行して、Web UI を実行する LLaMA 2 の 7B バージョンをダウンロードします。 モデルの GPTQ 最適化バージョンをダウンロードします。これにより、量子化を使用してモデルを実行するコストが大幅に削減されます。』

モデルのダウンロード
1
!python download-model.py TheBloke/Llama-2-7B-GPTQ
Downloading the model to models/TheBloke_Llama-2-7B-GPTQ
100%|██████████████████████████████████████████████████| 23.1k /23.1k  19.7MiB/s
100%|██████████████████████████████████████████████████| 4.77k /4.77k  13.2MiB/s
100%|██████████████████████████████████████████████████| 784   /784    1.81MiB/s
100%|███████████████████████████████████████████████████| 132   /132    309kiB/s
100%|██████████████████████████████████████████████████| 3.90G /3.90G  56.2MiB/s
100%|███████████████████████████████████████████████████| 188   /188    628kiB/s
100%|███████████████████████████████████████████████████| 411   /411    953kiB/s
100%|██████████████████████████████████████████████████| 1.84M /1.84M  72.0MiB/s
100%|██████████████████████████████████████████████████| 500k  /500k   18.6MiB/s
100%|██████████████████████████████████████████████████| 727   /727    1.70MiB/s

アプリケーションの実行


実行してみます。

実行コード

!python server.py --share --model TheBloke_Llama-2-13B-chat-GPTQ --load-in-8bit --bf16 --auto-devices 
2023-12-24 14:50:33 WARNING:The gradio "share link" feature uses a proprietary executable to create a reverse tunnel. Use it with care.
2023-12-24 14:50:35 INFO:Loading TheBloke_Llama-2-13B-chat-GPTQ...
2023-12-24 14:50:35 ERROR:The path to the model does not exist. Exiting.
Traceback (most recent call last):
  File "/notebooks/server.py", line 1027, in <module>
    create_interface()
  File "/notebooks/server.py", line 504, in create_interface
    create_file_saving_menus()
  File "/notebooks/server.py", line 379, in create_file_saving_menus
    with gr.Box(visible=False, elem_classes='file-saver') as shared.gradio['file_saver']:
AttributeError: module 'gradio' has no attribute 'Box'

エラーになりました。よく見ると、ダウンロードしたは Llama-2-7B-GPTQ なのに、上のスクリプトは Llama-2-13B-chat-GPTQ で異なっています。
Llama-2-7B-GPTQ　に変えてみます。

!python server.py --share --model TheBloke_Llama-2-7B-GPTQ --load-in-8bit --bf16 --auto-devices 
2023-12-24 15:13:59 WARNING:The gradio "share link" feature uses a proprietary executable to create a reverse tunnel. Use it with care.
2023-12-24 15:14:00 INFO:Loading TheBloke_Llama-2-7B-GPTQ...
2023-12-24 15:14:01 WARNING:Auto-assiging --gpu-memory 15 for your GPU to try to prevent out-of-memory errors. You can manually set other values.
2023-12-24 15:14:01 INFO:The AutoGPTQ params are: {'model_basename': 'model', 'device': 'cuda:0', 'use_triton': False, 'inject_fused_attention': True, 'inject_fused_mlp': True, 'use_safetensors': True, 'trust_remote_code': False, 'max_memory': {0: '15GiB', 'cpu': '99GiB'}, 'quantize_config': None, 'use_cuda_fp16': True}
2023-12-24 15:14:08 WARNING:Skipping module injection for FusedLlamaMLPForQuantizedModel as currently not supported with use_triton=False.
2023-12-24 15:15:18 INFO:Loaded the model in 77.57 seconds.

Traceback (most recent call last):
  File "/notebooks/server.py", line 1027, in <module>
    create_interface()
  File "/notebooks/server.py", line 504, in create_interface
    create_file_saving_menus()
  File "/notebooks/server.py", line 379, in create_file_saving_menus
    with gr.Box(visible=False, elem_classes='file-saver') as shared.gradio['file_saver']:
AttributeError: module 'gradio' has no attribute 'Box'

違うエラーが出ました。

注意書きがありますが、関連が良くわかりません。

サポートに問い合わせて解決


以下の問い合わせをしてみます。

サポート問い合わせフォーム
問い合わせ完了画面

サポートからの回答は、『Please make sure to install the latest version of Gradio and then retry the process.』との。
色々調べると、4.0.0 から attribute Box は削除されたとのことで、
その前のバージョン、3.50.2 を入れてみます。


!pip install gradio==3.50.2
Collecting gradio==3.50.2
  Using cached gradio-3.50.2-py3-none-any.whl (20.3 MB)
Requirement already satisfied: pillow<11.0,>=8.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (10.1.0)
Requirement already satisfied: uvicorn>=0.14.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (0.25.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (23.0)
Requirement already satisfied: python-multipart in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (0.0.6)
Requirement already satisfied: semantic-version~=2.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (2.10.0)
Collecting gradio-client==0.6.1
  Downloading gradio_client-0.6.1-py3-none-any.whl (299 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 299.2/299.2 kB 15.9 MB/s eta 0:00:00
Requirement already satisfied: importlib-resources<7.0,>=1.3 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (5.10.2)
Requirement already satisfied: websockets<12.0,>=10.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (11.0.3)
Requirement already satisfied: requests~=2.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (2.28.2)
Requirement already satisfied: markupsafe~=2.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (2.1.2)
Requirement already satisfied: aiofiles<24.0,>=22.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (23.2.1)
Requirement already satisfied: pydantic!=1.8,!=1.8.1,!=2.0.0,!=2.0.1,<3.0.0,>=1.7.4 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (2.5.3)
Requirement already satisfied: jinja2<4.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (3.1.2)
Requirement already satisfied: matplotlib~=3.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (3.6.1)
Requirement already satisfied: typing-extensions~=4.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (4.9.0)
Requirement already satisfied: altair<6.0,>=4.2.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (5.2.0)
Requirement already satisfied: huggingface-hub>=0.14.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (0.20.1)
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Requirement already satisfied: orjson~=3.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (3.9.10)
Requirement already satisfied: pandas<3.0,>=1.0 in /usr/local/lib/python3.9/dist-packages (from gradio==3.50.2) (1.5.0)
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Requirement already satisfied: fsspec in /usr/local/lib/python3.9/dist-packages (from gradio-client==0.6.1->gradio==3.50.2) (2023.10.0)
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Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.9/dist-packages (from importlib-resources<7.0,>=1.3->gradio==3.50.2) (3.11.0)
Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib~=3.0->gradio==3.50.2) (4.38.0)
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Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.9/dist-packages (from matplotlib~=3.0->gradio==3.50.2) (0.11.0)
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Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.9/dist-packages (from matplotlib~=3.0->gradio==3.50.2) (2.8.2)
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Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.9/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==3.50.2) (18.2.0)
Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7->matplotlib~=3.0->gradio==3.50.2) (1.14.0)
Installing collected packages: gradio-client, gradio
  Attempting uninstall: gradio-client
    Found existing installation: gradio_client 0.7.3
    Uninstalling gradio_client-0.7.3:
      Successfully uninstalled gradio_client-0.7.3
  Attempting uninstall: gradio
    Found existing installation: gradio 4.11.0
    Uninstalling gradio-4.11.0:
      Successfully uninstalled gradio-4.11.0
Successfully installed gradio-3.50.2 gradio-client-0.6.1
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

その結果、起動はできました。

!python server.py --share --model TheBloke_Llama-2-7B-GPTQ --load-in-8bit --bf16 --auto-devices 
2023-12-25 12:20:49 WARNING:The gradio "share link" feature uses a proprietary executable to create a reverse tunnel. Use it with care.
2023-12-25 12:20:50 INFO:Loading TheBloke_Llama-2-7B-GPTQ...
2023-12-25 12:20:51 WARNING:Auto-assiging --gpu-memory 15 for your GPU to try to prevent out-of-memory errors. You can manually set other values.
2023-12-25 12:20:51 INFO:The AutoGPTQ params are: {'model_basename': 'model', 'device': 'cuda:0', 'use_triton': False, 'inject_fused_attention': True, 'inject_fused_mlp': True, 'use_safetensors': True, 'trust_remote_code': False, 'max_memory': {0: '15GiB', 'cpu': '99GiB'}, 'quantize_config': None, 'use_cuda_fp16': True}
2023-12-25 12:21:00 WARNING:Skipping module injection for FusedLlamaMLPForQuantizedModel as currently not supported with use_triton=False.
2023-12-25 12:22:07 INFO:Loaded the model in 76.74 seconds.

/usr/local/lib/python3.9/dist-packages/gradio/components/dropdown.py:231: UserWarning: The value passed into gr.Dropdown() is not in the list of choices. Please update the list of choices to include: None or set allow_custom_value=True.
  warnings.warn(
Running on local URL:  http://127.0.0.1:7860
Running on public URL: https://bbfde97664de8310b3.gradio.live

This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)

https://bbfde97664de8310b3.gradio.live

起動後の画面
入力例「Question: How Long Is A Fortnight?」

　テンプレートがいろいろ用意されています。（左下のプルダウン）

テンプレート

一応、入力に対して出力されています。
テンプレートがいろいろあるので、試した結果を随時、アップしていきます。

いいなと思ったら応援しよう！