atomic.chat(@atomic_chat_hq):Run Ling 3.0 Flash locally 🌀 We released GGUF quants on Hugging Face, from lossless BF16 to 1-bit, plus NVFP4! AD-Q5_K_M is the best fit for 128GB hardware (tested on DGX Spark). It matches the original's token choice 97.5% of the time and drifts 31% less than the llama.cpp default quant of the same size.

atomic.chat

@atomic_chat_hq

Local AI chat and Inference Engine. Enhanced by TurboQuant. Team: @gladkos @skinbagwbones @AlexFromAtomic @danyurkin @worthant_

参加 March 2026

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atomic.chat@atomic_chat_hq

2026.08.05 16:17

Run Ling 3.0 Flash locally 🌀 We released GGUF quants on Hugging Face, from lossless BF16 to 1-bit, plus NVFP4! AD-Q5_K_M is the best fit for 128GB hardware (tested on DGX Spark). It matches the original's token choice 97.5% of the time and drifts 31% less than the llama.cpp default quant of the same size.