Qwen releases Qwen3.8-Flash-Next-FP8 open weights
Qwen published FP8-quantized weights and configuration files for Qwen3.8-Flash-Next in Hugging Face Transformers format. According to Qwen, the fine-grained FP8 quantization uses a block size of 128 and has performance metrics close to those of the original model. The repository also lists compatibility with Transformers, vLLM, SGLang, and TokenSpeed, but the supplied report contains no independent compatibility tests or benchmark results.
The release gives developers access to open-weight FP8 artifacts and configuration guidance for Qwen3.8-Flash-Next. Qwen's performance and framework-compatibility claims remain unverified in the supplied report.
Qwen/Qwen3.8-Flash-Next-FP8 Image-Text-to-Text • 180B • Updated 3 days ago • 142k • • 304
base_model:
- Qwen/Qwen3.8-Flash-Next library_name: transformers license: other license_name: qwen-community-1.0 license_link: LICENSE pipeline_tag: image-text-to-text
Qwen3.8-Flash-Next-FP8
[!Note] This repository contains FP8-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, TokenSpeed, etc. The quantization method is fine-grained fp8 quantization with block size of 128, and its performance metrics are nearly identical to those of the original model.
#Qwen#Qwen3.8-Flash-Next-FP8#Qwen3.8-Flash-Next#Hugging Face Transformers#vLLM#SGLang#TokenSpeed#Qwen Cloud