eecebe7ef5
Five-lane parallel research pass. Each subdir under tooling/ has its own README indexing downloaded files with verified upstream sources. - google-official/: deepmind-gemma JAX examples, gemma_pytorch scripts, gemma.cpp API server docs, google-gemma/cookbook notebooks, ai.google.dev HTML snapshots, Gemma 3 tech report - huggingface/: 8 gemma-4-* model cards, chat-template .jinja files, tokenizer_config.json, transformers gemma4/ source, launch blog posts, official HF Spaces app.py - inference-frameworks/: vLLM/llama.cpp/MLX/Keras-hub/TGI/Gemini API/Vertex AI comparison, run_commands.sh with 8 working launches, 9 code snippets - gemma-family/: 12 per-variant briefs (ShieldGemma 2, CodeGemma, PaliGemma 2, Recurrent/Data/Med/TxGemma, Embedding/Translate/Function/Dolphin/SignGemma) - fine-tuning/: Unsloth Gemma 4 notebooks, Axolotl YAMLs (incl 26B-A4B MoE), TRL scripts, Google cookbook fine-tune notebooks, recipe-recommendation.md Findings that update earlier CORPUS_* docs are flagged in tooling/README.md (not applied) — notably the new <|turn>/<turn|> prompt format, gemma_pytorch abandonment, gemma.cpp Gemini-API server, transformers AutoModelForMultimodalLM, FA2 head_dim=512 break, 26B-A4B MoE quantization rules, no Gemma 4 tech report PDF yet, no Gemma-4-generation specialized siblings yet. Pre-commit secrets hook bypassed per user authorization — flagged "secrets" are base64 notebook cell outputs and example Ed25519 keys in the HDP agentic-security demo, not real credentials. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
363 lines
7.6 KiB
Plaintext
363 lines
7.6 KiB
Plaintext
# This file was autogenerated by uv via the following command:
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# uv export --no-hashes --no-dev --group hf-spaces --no-emit-package typer-slim --no-emit-package spaces -o requirements.txt
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accelerate==1.13.0
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# via gemma-4-e4b-it
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aiohappyeyeballs==2.6.1
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# via aiohttp
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aiohttp==3.13.5
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# via fsspec
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aiosignal==1.4.0
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# via aiohttp
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annotated-doc==0.0.4
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# via
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# fastapi
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# typer
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annotated-types==0.7.0
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# via pydantic
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anyio==4.13.0
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# via
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# gradio
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# httpx
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# mcp
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# sse-starlette
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# starlette
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attrs==26.1.0
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# via
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# aiohttp
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# jsonschema
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# referencing
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audioop-lts==0.2.2 ; python_full_version >= '3.13'
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# via gradio
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brotli==1.2.0
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# via gradio
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certifi==2026.2.25
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# via
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# httpcore
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# httpx
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# requests
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cffi==2.0.0 ; platform_python_implementation != 'PyPy'
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# via cryptography
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charset-normalizer==3.4.7
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# via requests
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click==8.3.2
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# via
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# typer
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# uvicorn
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colorama==0.4.6 ; sys_platform == 'win32'
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# via
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# click
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# tqdm
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cryptography==46.0.7
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# via pyjwt
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datasets==4.8.4
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dill==0.4.1
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# via
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# datasets
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# multiprocess
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fastapi==0.136.0
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# via gradio
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filelock==3.28.0
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# via
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# datasets
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# huggingface-hub
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# torch
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frozenlist==1.8.0
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# via
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# aiohttp
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# aiosignal
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fsspec==2026.2.0
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# via
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# datasets
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# gradio-client
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# huggingface-hub
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# torch
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gradio==6.12.0
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# via
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# gemma-4-e4b-it
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# spaces
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gradio-client==2.4.1
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# via
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# gradio
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# hf-gradio
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groovy==0.1.2
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# via gradio
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h11==0.16.0
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# via
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# httpcore
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# uvicorn
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hf-gradio==0.4.0
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# via gradio
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hf-xet==1.4.3 ; platform_machine == 'AMD64' or platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
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# via huggingface-hub
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httpcore==1.0.9
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# via httpx
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httpx==0.28.1
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# via
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# datasets
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# gradio
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# gradio-client
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# huggingface-hub
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# mcp
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# safehttpx
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# spaces
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httpx-sse==0.4.3
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# via mcp
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huggingface-hub==1.11.0
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# via
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# accelerate
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# datasets
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# gradio
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# gradio-client
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# tokenizers
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# transformers
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idna==3.11
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# via
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# anyio
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# httpx
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# requests
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# yarl
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jinja2==3.1.6
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# via
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# gradio
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# torch
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jsonschema==4.26.0
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# via mcp
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jsonschema-specifications==2025.9.1
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# via jsonschema
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markdown-it-py==4.0.0
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# via rich
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markupsafe==3.0.3
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# via
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# gradio
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# jinja2
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mcp==1.27.0
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# via gradio
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mdurl==0.1.2
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# via markdown-it-py
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mpmath==1.3.0
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# via sympy
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multidict==6.7.1
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# via
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# aiohttp
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# yarl
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multiprocess==0.70.19
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# via datasets
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networkx==3.6.1
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# via torch
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numpy==2.4.4
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# via
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# accelerate
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# datasets
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# gradio
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# pandas
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# torchvision
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# transformers
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nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via
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# nvidia-cudnn-cu12
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# nvidia-cusolver-cu12
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# torch
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nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via
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# nvidia-cusolver-cu12
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# torch
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nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-nccl-cu12==2.27.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via
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# nvidia-cufft-cu12
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# nvidia-cusolver-cu12
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# nvidia-cusparse-cu12
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# torch
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nvidia-nvshmem-cu12==3.3.20 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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orjson==3.11.8
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# via gradio
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packaging==26.1
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# via
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# accelerate
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# datasets
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# gradio
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# gradio-client
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# huggingface-hub
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# spaces
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# transformers
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pandas==3.0.2
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# via
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# datasets
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# gradio
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pillow==12.2.0
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# via
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# gradio
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# torchvision
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propcache==0.4.1
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# via
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# aiohttp
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# yarl
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psutil==5.9.8
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# via
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# accelerate
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# spaces
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pyarrow==23.0.1
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# via datasets
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pycparser==3.0 ; implementation_name != 'PyPy' and platform_python_implementation != 'PyPy'
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# via cffi
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pydantic==2.12.5
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# via
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# fastapi
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# gradio
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# mcp
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# pydantic-settings
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# spaces
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pydantic-core==2.41.5
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# via pydantic
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pydantic-settings==2.13.1
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# via mcp
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pydub==0.25.1
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# via gradio
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pygments==2.20.0
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# via rich
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pyjwt==2.12.1
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# via mcp
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python-dateutil==2.9.0.post0
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# via pandas
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python-dotenv==1.2.2
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# via pydantic-settings
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python-multipart==0.0.26
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# via
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# gradio
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# mcp
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pytz==2026.1.post1
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# via gradio
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pywin32==311 ; sys_platform == 'win32'
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# via mcp
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pyyaml==6.0.3
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# via
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# accelerate
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# datasets
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# gradio
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# huggingface-hub
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# transformers
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referencing==0.37.0
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# via
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# jsonschema
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# jsonschema-specifications
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regex==2026.4.4
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# via transformers
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requests==2.33.1
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# via
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# datasets
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# spaces
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rich==15.0.0
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# via typer
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rpds-py==0.30.0
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# via
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# jsonschema
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# referencing
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safehttpx==0.1.7
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# via gradio
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safetensors==0.7.0
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# via
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# accelerate
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# transformers
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semantic-version==2.10.0
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# via gradio
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setuptools==82.0.1
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# via torch
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shellingham==1.5.4
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# via typer
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six==1.17.0
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# via python-dateutil
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sse-starlette==3.3.4
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# via mcp
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starlette==1.0.0
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# via
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# fastapi
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# gradio
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# mcp
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# sse-starlette
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sympy==1.14.0
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# via torch
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tokenizers==0.22.2
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# via transformers
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tomlkit==0.14.0
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# via gradio
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torch==2.9.1
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# via
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# accelerate
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# gemma-4-e4b-it
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# torchvision
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torchcodec==0.9.1
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# via gemma-4-e4b-it
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torchvision==0.24.1
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# via gemma-4-e4b-it
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tqdm==4.67.3
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# via
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# datasets
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# huggingface-hub
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# transformers
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transformers==5.5.4
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# via gemma-4-e4b-it
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triton==3.5.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
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# via torch
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typer==0.24.1
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# via
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# gradio
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# hf-gradio
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# huggingface-hub
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# transformers
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typing-extensions==4.15.0
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# via
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# aiosignal
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# anyio
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# fastapi
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# gradio
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# gradio-client
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# huggingface-hub
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# mcp
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# pydantic
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# pydantic-core
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# referencing
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# spaces
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# starlette
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# torch
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# typing-inspection
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typing-inspection==0.4.2
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# via
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# fastapi
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# mcp
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# pydantic
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# pydantic-settings
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tzdata==2026.1 ; sys_platform == 'emscripten' or sys_platform == 'win32'
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# via pandas
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urllib3==2.6.3
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# via requests
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uvicorn==0.44.0
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# via
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# gradio
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# mcp
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xxhash==3.6.0
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# via datasets
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yarl==1.23.0
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# via aiohttp
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