Text Generation
English
web-scraping
html-extraction
agent
structured-data
qwen2.5
unsloth
lora

Commit History

  1. Add TurboQuant 3-bit + HQQ mixed-precision compression pipeline (sections 9-11)

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    c45352b
  2. Rewrite from scratch — exact copy of official unsloth Qwen2.5-7B notebook pattern with pinned deps

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    a1e3f9b
  3. Speed fix v3: seq 1024, bs 4, max_steps=800, max_length param, LoRA r=16 — target ~2h on T4

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    f44eb6a
  4. Speed fix: packing=True, seq 2048, bs 2, 1 epoch — estimated ~2h on T4 instead of 177h

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    d933e25
  5. Fix: train_on_responses_only needs explicit Qwen2.5 ChatML parts + warmup_ratio→warmup_steps + total_mem→total_memory

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    fe001ba
  6. Upload generate_v2_data.py with huggingface_hub

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    99e9e34
  7. Upload WebScrapeAgent_Training_v2.ipynb with huggingface_hub

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  8. Upload WebScrapeAgent_Training.ipynb with huggingface_hub

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  9. Upload evaluate.py with huggingface_hub

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  10. Upload webscrape_agent.py with huggingface_hub

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  11. Upload train.py with huggingface_hub

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  12. Upload README.md with huggingface_hub

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  13. initial commit

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