初始化项目，由ModelHub XC社区提供模型

Model: astom-M/matsuo-llm-advanced-phase-f2a
Source: Original Platform

README.md

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+---
+language:
+- ja
+- en
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- text-generation
+- agent
+- sql
+- alfworld
+- dbagent
+---
+
+# matsuo-llm-advanced-phase-f2a
+
+Fine-tuned from Qwen/Qwen2.5-7B-Instruct for agent tasks.
+
+## Training Configuration
+
+- LoRA: r=8, alpha=16 (Phase D identical)
+- lr: 1e-5, epochs: 0.3, batch: 4x4=16
+- Data: Spider/BIRD 2100 (60%) + Distilled 72B 500 (14%) + DBBench v4 700 (20%) + ALFWorld 200 (6%), 3500 samples
+
+## Data Composition
+
+- Spider/BIRD: 2100 samples (60%) - reduced from Phase D to accommodate distilled data
+- Distilled 72B: 500 samples (14%) - NEW: multi-turn DB conversations generated by Qwen2.5-72B-Instruct-AWQ
+  - Generated from Spider/BIRD table schemas (not from AgentBench data)
+  - Weak category emphasis (AGG-MAX, COUNT, INSERT, AGG-SUM)
+  - Filtered by regex/sqlparse only (no LLM quality filtering)
+- DBBench v4: 700 samples (20%) - same as Phase D
+- ALFWorld v5: 200 samples (6%) - reduced from Phase D
+
+## Datasets
+
+- `u-10bei/dbbench_sft_dataset_react_v4` — Listed in the organizer-shared Phase B dataset list.
+  Used as provided (no modification). Third-party synthetic SFT for DBBench format alignment;
+  all tables, data, and queries are independently generated
+  (per dataset description: "to avoid test data leakage").
+- `xlangai/spider` — CC BY-SA 4.0 (Yale/Columbia Spider project)
+- `birdsql/bird_mini_dev` — CC BY-SA 4.0 (HKU)
+- Official Phase B ALFWorld v5 dataset — Organizer-provided, used as provided.
+- Synthetic multi-turn data generated by Qwen2.5-72B-Instruct-AWQ (whitelisted model)
+
+## Compliance
+
+- Evaluation data not used in training: No analysis of evaluation test data was conducted.
+- LLM was not used for data quality filtering or selection.
+- Distilled data generated from whitelisted model (Qwen2.5-72B-Instruct-AWQ) using Spider/BIRD schemas only.
+- Filtering is regex/sqlparse only (non-LLM).
+- Inference code not modified.
+
+## Usage
+
+Compatible with vLLM v0.13.0+.