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anjohn0077
/
NEXS-truthfulness-lora

PEFT
Safetensors
mergekit
lora
vllm
Model card Files Files and versions
xet
Community

Instructions to use anjohn0077/NEXS-truthfulness-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use anjohn0077/NEXS-truthfulness-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B")
    model = PeftModel.from_pretrained(base_model, "anjohn0077/NEXS-truthfulness-lora")
  • Notebooks
  • Google Colab
  • Kaggle
NEXS-truthfulness-lora
671 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
anjohn0077's picture
anjohn0077
Replace raw extraction with sanitized vLLM-ready truthfulness LoRA (pure lora_A/lora_B, modules_to_save stripped; source: HiTZ/Llama-3.1-8B-Instruct-multi-truth-judge)
efa8fb0 verified 26 days ago
  • .gitattributes
    1.52 kB
    initial commit 26 days ago
  • README.md
    1.87 kB
    Update README for sanitized vLLM-ready truthfulness adapter 26 days ago
  • adapter_config.json
    444 Bytes
    Replace raw extraction with sanitized vLLM-ready truthfulness LoRA (pure lora_A/lora_B, modules_to_save stripped; source: HiTZ/Llama-3.1-8B-Instruct-multi-truth-judge) 26 days ago
  • adapter_model.safetensors
    671 MB
    xet
    Replace raw extraction with sanitized vLLM-ready truthfulness LoRA (pure lora_A/lora_B, modules_to_save stripped; source: HiTZ/Llama-3.1-8B-Instruct-multi-truth-judge) 26 days ago