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shivam2k3
/
opensoc-defender-grpo

Text Generation
PEFT
Safetensors
English
grpo
lora
trl
unsloth
openenv
cybersecurity
soc
rlvr
self-play
Model card Files Files and versions
xet
Community

Instructions to use shivam2k3/opensoc-defender-grpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use shivam2k3/opensoc-defender-grpo with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "shivam2k3/opensoc-defender-grpo")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use shivam2k3/opensoc-defender-grpo with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for shivam2k3/opensoc-defender-grpo to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for shivam2k3/opensoc-defender-grpo to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for shivam2k3/opensoc-defender-grpo to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="shivam2k3/opensoc-defender-grpo",
        max_seq_length=2048,
    )
opensoc-defender-grpo
120 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
shivam2k3's picture
shivam2k3
Add proper model card with training details, reward design, and usage instructions
9e8d68b verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    4.92 kB
    Add proper model card with training details, reward design, and usage instructions 3 months ago
  • adapter_config.json
    1.26 kB
    GRPO stage-4 LoRA (refresh from finish_from_stage4) 3 months ago
  • adapter_model.safetensors
    120 MB
    xet
    GRPO stage-4 LoRA (refresh from finish_from_stage4) 3 months ago