初始化项目，由ModelHub XC社区提供模型

Model: OsakanaTeishoku/Qwen3-4B-Thinking-2507-reasoning-ja-20260329
Source: Original Platform

README.md

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+---
+base_model: unsloth/Qwen3-4B-Thinking-2507
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+license: apache-2.0
+language:
+- en
+- ja
+datasets:
+- DataPilot/Knowledge-QA-SingleTurn-Dataset
+---
+
+# 概要
+DataPilot/Knowledge-QA-SingleTurn-DatasetでSFTし，日本語の入力に対し日本語で思考するようにしたモデルです．コンテキスト長は16384です．
+
+# 使い方
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer
+
+tokenizer = AutoTokenizer.from_pretrained("OsakanaTeishoku/Qwen3-4B-Thinking-2507-reasoning-ja-20260329")
+model = AutoModelForCausalLM.from_pretrained("OsakanaTeishoku/Qwen3-4B-Thinking-2507-reasoning-ja-20260329", dtype="auto", device_map="auto")
+messages = [
+    {"role": "user", "content": "肉じゃがの作り方を教えて"},
+]
+inputs = tokenizer.apply_chat_template(
+	messages,
+	add_generation_prompt=True,
+	tokenize=True,
+	return_dict=True,
+	return_tensors="pt",
+).to(model.device)
+
+streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+
+outputs = model.generate(
+    **inputs, 
+    max_new_tokens=5000, 
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.8,
+    top_k=20,
+    streamer=streamer,              
+)
+```
+
+# Uploaded finetuned  model
+
+- **Developed by:** OsakanaTeishoku
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/Qwen3-4B-Thinking-2507
+
+This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)