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helloAK96
/
chaosops-grpo-lora

Text Generation
PEFT
Safetensors
English
reinforcement-learning
grpo
lora
openenv
multi-agent
scalable-oversight
chaosops
conversational
Model card Files Files and versions
xet
Community

Instructions to use helloAK96/chaosops-grpo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use helloAK96/chaosops-grpo-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct")
    model = PeftModel.from_pretrained(base_model, "helloAK96/chaosops-grpo-lora")
  • Notebooks
  • Google Colab
  • Kaggle
chaosops-grpo-lora
90.1 MB
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  • 1 contributor
History: 8 commits
helloAK96's picture
helloAK96
Add post-training evaluation.json
e221bf5 verified 14 days ago
  • .gitattributes
    1.68 kB
    Add post-training comparison_curve.png 14 days ago
  • README.md
    3.33 kB
    Add ChaosOps GRPO LoRA model card 14 days ago
  • adapter_config.json
    728 Bytes
    Upload GRPO LoRA adapter 14 days ago
  • adapter_model.safetensors
    73.9 MB
    xet
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  • added_tokens.json
    605 Bytes
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  • comparison_curve.png
    135 kB
    xet
    Add post-training comparison_curve.png 14 days ago
  • evaluation.json
    79.6 kB
    Add post-training evaluation.json 14 days ago
  • evaluation_summary.txt
    1.24 kB
    Add post-training evaluation_summary.txt 14 days ago
  • learning_curve.png
    108 kB
    xet
    Add learning_curve.png 14 days ago
  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    7.34 kB
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  • training_metrics.json
    10.3 kB
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  • vocab.json
    2.78 MB
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