AI가 움직이고 미래가 업데이트됩니다.Qwen3.8-35B-A3B-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 Qwen3.6 architecture support. **Qwen3.8-35B-A3B** is a distillation of the **Qwen3.8** frontier models into the Qwen3.6-35B-A3B Mixture-of-Experts architecture. The student was trained on curated teacher traces from our internal Qwen3.8 distillation datasets — dense chain-of-thought spanning mathematics, code, general reasoning, instruction following, and tool use, quality-filtered before training. The objective: bring the reasoning behavior of frontier-scale teachers into a sparse 35B that activates only 3B parameters per token and deploys on a single GPU.
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 Qwen3.6 architecture support. **Qwen3.8-35B-A3B** is a distillation of the **Qwen3.8** frontier models into the Qwen3.6-35B-A3B Mixture-of-Experts architecture. The student was trained on curated teacher traces from our internal Qwen3.8 distillation datasets — dense chain-of-thought spanning mathematics, code, general reasoning, instruction following, and tool use, quality-filtered before training. The objective: bring the reasoning behavior of frontier-scale teachers into a sparse 35B that activates only 3B parameters per token and deploys on a single GPU.