初始化项目，由ModelHub XC社区提供模型

Model: fn-aka-mur/qw3-4b-v17-gs180
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+datasets:
+- alfworld
+- dbbench
+language:
+- en
+license: apache-2.0
+library_name: HuggingFace Transformers
+pipeline_tag: text-generation
+tags:
+- agent
+- tool-use
+- alfworld
+- dbbench
+---
+
+# Qwen3-4B-Instruct-2507-LoRA-AgentBench
+
+This repository provides a RL'ed model fine-tuned from
+**Qwen/Qwen3-4B-Instruct-2507** using HuggingFace Transformers.
+
+## Training Objective
+
+This model is trained to improve **multi-turn agent task performance**
+on ALFWorld (household tasks) and DBBench (database operations).
+
+## Training Configuration
+- Base model: Qwen/Qwen3-4B-Instruct-2507
+- Method: Agentic Reinforcement Learning
+- Max sequence length: 8192
+- Learning rate: 1e-06
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+import torch
+
+base = "fujiki/qw3-4b-v17-gs180"
+
+tokenizer = AutoTokenizer.from_pretrained(base)
+model = AutoModelForCausalLM.from_pretrained(
+    base,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+```
+
+## Sources & Terms (IMPORTANT)
+
+Training data: u-10bei/sft_alfworld_trajectory_dataset_v5, u-10bei/dbbench_sft_dataset_react_v4 and task enviromnents for the Agentic RL of LLM.
+
+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.