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Model: JunHowie/Qwen3-8B-Instruct
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
+pipeline_tag: text-generation
+base_model:
+- Qwen/Qwen3-8B
+---
+# Qwen3-8B-Instruct
+
+**NOTE：This model is the Instruct-aligned variant, and it will not generate ``<think></think>``  blocks in its outputs.
+Additionally, there is no need to specify enable_thinking=False anymore.**
+
+
+
+
+This model was trained using ms-swift as the post-training framework, with full-parameter SFT on 4 × 80GB GPUs.<br>
+The dataset used is the Chinese Distillation Dataset based on Qwen3-235B-2507
+<br>available at:
+https://www.modelscope.cn/datasets/swift/Chinese-Qwen3-235B-2507-Distill-data-110k-SFT
+
+
+### 【vLLM Startup Command】
+```
+vllm serve JunHowie/Qwen3-8B-Instruct 
+```
+
+### 【Dependencies】
+```
+vllm>=0.10.2
+transformers>=4.56.1
+```
+
+### 【Model Download】
+
+```python
+from modelscope import snapshot_download
+snapshot_download('JunHowie/Qwen3-8B-Instruct', cache_dir="your_local_path")
+```