AI가 움직이고 미래가 업데이트됩니다.Qwen3.8-4B-Distill
> [!Note] > This repository contains model weights and configuration files in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, and other standard runtimes with Qwen3.5 architecture support. **Qwen3.8-4B** is a full-parameter distillation of **Qwen3.8 2.4T A95B** into the Qwen3.5-4B architecture. The student was trained on **~45,000 curated teacher traces** from our internal Qwen3.8 distillation datasets — dense chain-of-thought spanning mathematics, general reasoning, and instruction following, quality-filtered before training. The objective: bring the reasoning behavior of a frontier-scale teacher into a 4B that runs comfortably on consumer hardware.
번역 준비 중입니다. 원문을 표시합니다.
> [!Note] > This repository contains model weights and configuration files in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, and other standard runtimes with Qwen3.5 architecture support. **Qwen3.8-4B** is a full-parameter distillation of **Qwen3.8 2.4T A95B** into the Qwen3.5-4B architecture. The student was trained on **~45,000 curated teacher traces** from our internal Qwen3.8 distillation datasets — dense chain-of-thought spanning mathematics, general reasoning, and instruction following, quality-filtered before training. The objective: bring the reasoning behavior of a frontier-scale teacher into a 4B that runs comfortably on consumer hardware.