atomic.chat
@atomic_chat_hq
The simplest way to run open models on any hardware. Powered by TurboQuant. Team: @gladkos @skinbagwbones @AlexFromAtomic @danyurkin @quantizedden
가입 March 2026
68 팔로잉 중 18.9K 팬
Run Liquid AI's d1 decision models locally ⚖️
We dropped GGUF quants of d1-3B and d1-omni-600M on Hugging Face, from 256 MB to 5.4 GB
The sweet spot is our 1.66 GB d1-3B AD-Q4_K_M and it's top-1% is 97.1% compared to BF16
GGUFs:
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Today we release Open d1: two open-weight multimodal models in our d1 decision model family.
> d1-3B: text + vision
> d1-omni-600M: text + image or text + audio
> Real-time decision making anywhere, from data centers such as @nvidia DGX to RTX workstations to Jetson at the edge.
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