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Alogotron
/
a0-toolcall-lora

PEFT
Safetensors
English
agent-zero
tool-calling
qlora
lora
function-calling
sft
Model card Files Files and versions
xet
Community

Instructions to use Alogotron/a0-toolcall-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Alogotron/a0-toolcall-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
    model = PeftModel.from_pretrained(base_model, "Alogotron/a0-toolcall-lora")
  • Notebooks
  • Google Colab
  • Kaggle
a0-toolcall-lora
80.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Alogotron's picture
Alogotron
fix: add adapter_config.json required for PEFT loading
c7a1db5 verified 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • EVAL_REPORT.md
    2.49 kB
    feat: eval results - validity 1.7%->84.7%, invalid 58->0, stall analysis (512-cap) 8 days ago
  • MODEL_CARD.md
    2.66 kB
    feat: eval results - validity 1.7%->84.7%, invalid 58->0, stall analysis (512-cap) 8 days ago
  • README.md
    2.66 kB
    docs: model card with measured base-vs-tuned numbers 8 days ago
  • adapter_config.json
    1.18 kB
    fix: add adapter_config.json required for PEFT loading 8 days ago
  • adapter_model.safetensors
    80.8 MB
    xet
    feat: QLoRA adapter weights - Qwen2.5-7B-Instruct A0 tool-call tune (r16, 40.4M trainable) 8 days ago
  • eval-base.json
    11.4 kB
    feat: eval results - validity 1.7%->84.7%, invalid 58->0, stall analysis (512-cap) 8 days ago
  • eval-tuned.json
    7.72 kB
    feat: eval results - validity 1.7%->84.7%, invalid 58->0, stall analysis (512-cap) 8 days ago