Wire flash
Atomic Chat squeezes DeepSeek V4.1 Flash 552B MoE into NVFP4 for Blackwell local inference
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Atomic Chat (@atomic_chat_hq) announced a significant upgrade to local inference capabilities by compressing the 552-billion-parameter DeepSeek V4.1 Flash mixture-of-experts (MoE) model into the NVFP4 format, making it much more practical to run on Nvidia Blackwell hardware. The company claims this results in lower inference costs without sacrificing the model's core capabilities. Users still get a 1-million-token context window and native visual understanding, while retaining 98% agreement on agentic dialogue tasks. Atomic Chat positions this as a strong fit for local agentic workflows. The model weights are available on Hugging Face.
Source report
@atomic_chat_hq has done it again, making DeepSeek V4.1 Flash significantly more practical to run on Blackwell hardware.
The team has compressed the 552B Mixture-of-Experts (MoE) model into NVFP4 format, resulting in:
- Lower inference costs without sacrificing core model capabilities
- 1 million token context window retained
- Native visual understanding preserved
- 98% agreement on agentic dialogue tasks
This makes the model a strong fit for local agentic workflows.
The weights are available on Hugging Face 🤗 (link in the thread below).
Source
DataChazNeutral / independent
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