初始化项目，由ModelHub XC社区提供模型

Model: curio184/qwen25-7b-agent-exp02-C_alfv3_dbv4
Source: Original Platform

README.md

@@ -0,0 +1,61 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+language:
+- en
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- lora
+- agent
+- tool-use
+- alfworld
+- dbbench
+---
+
+# qwen25-7b-agent-exp02-C_alfv3_dbv4
+
+This model is a fine-tuned version of **Qwen/Qwen2.5-7B-Instruct** using **LoRA + Unsloth**.
+
+This repository contains the **full merged weights**.
+No adapter loading is required.
+
+## Training Objective
+
+This adapter is trained to improve **multi-turn agent task performance**
+on ALFWorld (household tasks) and DBBench (database operations).
+
+Loss is applied to **all assistant turns** in the multi-turn trajectory.
+
+## Training Configuration
+
+- Base model: Qwen/Qwen2.5-7B-Instruct
+- Data sources: ../../03_data/prepared/alfworld_v3_fixed, ../../03_data/prepared/dbbench_v4
+- Method: LoRA (Unsloth)
+- Max sequence length: 2048
+- Epochs: 2
+- Learning rate: 2e-06
+- LoRA: r=64, alpha=128
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "curio184/qwen25-7b-agent-exp02-C_alfv3_dbv4"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+```
+
+## Sources & Terms (IMPORTANT)
+
+Training data: ../../03_data/prepared/alfworld_v3_fixed, ../../03_data/prepared/dbbench_v4
+
+Dataset License: MIT License.
+Compliance: Users must comply with the MIT license and the base model's original terms of use.