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qwen2.5-3B-Instruct-tool-call-en-norobots
canbingol/qwen2.5-3B-Instruct-tool-call-en-norobots
qwen2.5-3B-Instruct-tool-call-en-norobots is a machine learning model from canbingol. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
LoRA fine-tune of Qwen/Qwen2.5-3B-Instruct for function/tool calling.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026
- SHA
- 14593d99
Base models
Model card
From the Hugging Face model README
Qwen2.5-3B-Instruct — Tool Call (EN, Mixed Data)
LoRA fine-tune of Qwen/Qwen2.5-3B-Instruct for function/tool calling.
Data
- Salesforce/xlam-function-calling-60k — 54,000 (tool-call)
- HuggingFaceH4/no_robots — 9,500, filtered ≤2,000 chars (no-tool SFT)
- Concatenated, shuffled (seed=42), formatted via
apply_chat_template
LoRA
r=32, lora_alpha=64, lora_dropout=0.05, target_modules=all-linear, bias=none, task_type=CAUSAL_LM
Training
lr=2e-4, epochs=1, per_device_batch=8, grad_accum=16 (effective 128), warmup_ratio=0.03, max_grad_norm=0.3, bf16=True, attn_implementation=sdpa, loss_type=nll
Results (step 482, final)
train_loss=0.360, val_loss=0.174, mean_token_accuracy=0.956, runtime≈3h47m (A100)
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026