---
base_model: Qwen/Qwen3-4B-Instruct-2507
datasets:
- u-10bei/sft_alfworld_trajectory_dataset_v5
language:
- en
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
tags:
- agent
- alfworld
- sft
- merged
---

# qwen3-4b-advanced-sft-v0-merged

This repository provides a **merged model** fine-tuned from Qwen/Qwen3-4B-Instruct-2507.

- Dataset: u-10bei/sft_alfworld_trajectory_dataset_v5
- Method: LoRA SFT (merged into base model)
- Max sequence length: 2048
- Epochs: 2
- Learning rate: 2e-06
- LoRA: r=64, alpha=128

## vLLM Compatibility

- LoRA adapter has been merged
- No tokenizer vocabulary modification
- Intended for AgentBench Advanced evaluation

## Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "deepkick/qwen3-4b-advanced-sft-v0-merged"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto"
)
```

## Data / License Notes

- Dataset: u-10bei/sft_alfworld_trajectory_dataset_v5
  Please refer to the dataset page for license and terms.
- Base model: Qwen/Qwen3-4B-Instruct-2507
  Please comply with the base model's original terms of use.