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
Commit History
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fix: add adapter_config.json required for PEFT loading
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feat: QLoRA adapter weights - Qwen2.5-7B-Instruct A0 tool-call tune (r16, 40.4M trainable)
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docs: model card with measured base-vs-tuned numbers
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feat: eval results - validity 1.7%->84.7%, invalid 58->0, stall analysis (512-cap)
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initial commit
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