Training
- Base model: Qwen/Qwen3-8B
- Dataset: 26,384 AFM trace SFT examples
- Method: 4-bit QLoRA followed by LoRA merge into the full base model
- Context length: 4096
- Effective batch size: 16
- Learning rate: 2e-4 with linear decay
- Epochs: 2
- Framework: LLaMA-Factory
Final training loss: 0.1007. This is a training-only metric, not an independent evaluation score.
Usage
Load zhanxing/afm-qwen3-8b-sft-fiannce-music-movie directly with AutoTokenizer.from_pretrained and AutoModelForCausalLM.from_pretrained. Use the Qwen3 chat template and provide required tool definitions in the prompt.
Limitations
Evaluate on held-out tool-use tasks before production use. The model may reproduce errors or biases present in the tool-trace training data.