86 lines
2.5 KiB
Markdown
86 lines
2.5 KiB
Markdown
---
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base_model: beyoru/Qwen3-4B-I-1209
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tags:
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- text-generation-inference
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- transformers
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- qwen3
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- tools
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- agent
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- function calling
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- tool calling
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license: apache-2.0
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language:
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- en
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---
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# Qwen3-4B-I-1209
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[](https://github.com/Hert4)
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[](https://huggingface.co/beyoru)
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[](https://buymeacoffee.com/ductransa0g)
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Fine-tuned variant of Qwen3-4B-Instruct-2507, optimized for tool-use and function call generation via reinforcement learning with composite reward signals.
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## Overview
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| **Base Model** | Qwen/Qwen3-4B-Instruct-2507 |
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| **Training Method** | GRPO (Group Relative Policy Optimization) |
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| **Specialization** | Tool-use, function calling |
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| **License** | Apache 2.0 |
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## Training
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### Reward Design
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The model is trained with three complementary reward functions:
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- **Rule-based reward** — Verifies correctness of function names and arguments. Partial credit is awarded for matching argument subsets.
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- **Self-certainty reward** — Encourages confident, well-calibrated predictions.
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- **Tool-call reward** — Validates structural correctness of generated tool calls.
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### Configuration
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| Parameter | Value |
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| Optimizer | AdamW |
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| Learning rate | 5e-6 |
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| Scheduler | Cosine with min LR (`min_lr_rate=0.1`) |
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| Generations per prompt | 4 |
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## Evaluation
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### ACEBench
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| Model | Overall Accuracy |
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|---|---|
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| **Qwen3-4B-I-1209 (this model)** | **0.7233** |
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| Qwen3-4B-Instruct-2507 (base) | 0.6350 |
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| Salesforce/Llama-xLAM-2-8b-fc-r | 0.5792 |
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> Additional benchmark results will be added as evaluation continues.
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("beyoru/Qwen3-4B-I-1209")
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tokenizer = AutoTokenizer.from_pretrained("beyoru/Qwen3-4B-I-1209")
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```
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## Feedback & Contributions
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Feedback on model quality, edge cases, and real-world performance is welcome. Open an issue or reach out via the links below.
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## Citation
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```bibtex
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@misc{qwen3-4b-i-1209,
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title = {Qwen3-4B-I-1209: Fine-tuned Qwen3-4B-Instruct with GRPO for Tool-Use and Function Calling},
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author = {Beyoru},
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year = {2025},
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howpublished = {\url{https://huggingface.co/beyoru/Qwen3-4B-I-1209}}
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}
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```
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