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fix: remove unsloth/trl/bitsandbytes from Space requirements (training only, use Colab)
Browse files- requirements.txt +21 -23
requirements.txt
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@@ -1,42 +1,40 @@
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torch>=2.1.0
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transformers>=4.44.0
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trl>=0.9.0
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datasets>=2.18.0
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accelerate>=0.28.0
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peft>=0.10.0
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bitsandbytes>=0.42.0
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# Unsloth — 2-3x faster training, 70% less VRAM (install first on GPU machines)
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unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git
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# Optional: GPT-4o-mini baseline comparison
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openai>=1.0.0
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# Environment
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gymnasium>=1.0.0
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numpy>=1.26.0
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pandas>=2.1.0
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scipy>=1.11.0
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# Server
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fastapi>=0.111.0
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uvicorn[standard]>=0.29.0
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pydantic>=2.6.0
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httpx>=0.27.0
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# Demo
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gradio>=4.20.0
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# Visualization
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matplotlib>=3.8.0
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seaborn>=0.13.0
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# Utilities
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wandb>=0.16.0
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huggingface-hub>=0.21.0
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scikit-learn>=1.4.0
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python-dotenv>=1.0.0
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click>=8.1.0
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rich>=13.0.0
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PyYAML>=6.0.0
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# Server (required for Space)
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fastapi>=0.111.0
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uvicorn[standard]>=0.29.0
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pydantic>=2.6.0
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httpx>=0.27.0
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# UI
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gradio>=4.20.0
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# ML inference (lightweight — no training on Space)
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torch>=2.1.0
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transformers>=4.44.0
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datasets>=2.18.0
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accelerate>=0.28.0
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peft>=0.10.0
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# Environment / calibration
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gymnasium>=1.0.0
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numpy>=1.26.0
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pandas>=2.1.0
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scipy>=1.11.0
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scikit-learn>=1.4.0
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# Visualization
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matplotlib>=3.8.0
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seaborn>=0.13.0
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plotly>=5.0.0
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# Utilities
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huggingface-hub>=0.21.0
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python-dotenv>=1.0.0
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PyYAML>=6.0.0
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rich>=13.0.0
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# Optional — only needed for training (Colab/GPU), not for Space server
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# trl>=0.9.0
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# bitsandbytes>=0.42.0
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# unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git
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# openai>=1.0.0
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# wandb>=0.16.0
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