README.md

---
base_model: Qwen/Qwen3-4B-Instruct-2507
datasets:
- hara-CU/LLM2025_DB_base_AW_345NoEAd_ALFformat_QH5L4R5_1392
language:
- en
license: mit
library_name: peft
pipeline_tag: text-generation
tags:
- lora
- agent
- tool-use
- alfworld
- dbbench
---

# Advanced_FinalCandidate_482

This repository contains the **full-merged 16-bit weights** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**. 
No adapter loading is required.



## Usage
Since this is a merged model, you can use it directly with `transformers`.
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "hara-CU/Advanced_FinalCandidate_482"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    device_map="auto",
)
```

## Sources & Terms (IMPORTANT)

Training data: hara-CU/LLM2025_DB_base_AW_345NoEAd_ALFformat_QH5L4R5_1392

Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.