AtomicChat news
The latest AtomicChat news, : AtomicChat releases quantized Ling 3.1 flash models with 86–88% token accuracy.
2 stories mentioning AtomicChat since 18 September 2026, newest first, each with its sources and discussion. Follow to see new ones on your front page.
-
AtomicChat releases quantized Ling 3.1 flash models with 86–88% token accuracy
The quantized versions match the base BF16 model’s token predictions 86 to 88% of the time on held-out text, with lower KL divergence scores indicating better alignment. Two 1-bit experimental files are included, but…
1 source primary sourcehuggingface.co -
Llama.cpp expert-pool fork for Qwen 3.8 Flash next IQ4 + 16Gb VRAM tested on MI50 gfx906 with parameters
An unofficial fork of llama.cpp introduces a persistent expert pool for mixture‑of‑experts (MoE) models that are offloaded with the --n-cpu-moe flag. Upstream llama.cpp lacks an expert cache, and earlier forks admitted…
1 source primary sourcegithub.com
Questions about AtomicChat
What is the latest AtomicChat news?
As of 15 October 2026: AtomicChat releases quantized Ling 3.1 flash models with 86–88% token accuracy. The quantized versions match the base BF16 model’s token predictions 86 to 88% of the time on held-out text, with lower KL divergence scores indicating better alignment.