PrismML has released Ternary Bonsai 2 27B, a ternary-weight version of Qwen3.8 27B. The language model occupies 5.93 GB, against 53.80 GB in FP16. PrismML…
1 editorial report · 1 verified social mention. The most authoritative report leads while later evidence completes the story.
The model is derived from Qwen3.8-27B, a 27B hybrid-attention causal language model (architecture unchanged), but uses ternary weights to shrink model size down to <6GB in size. According to the model card, it's 9x smaller than FP16 while retaining 98.2% of the intelligence. - Collection: https://huggingface.co/collections/prism-ml/bonsai-2 - Demo: https://huggingface.co/spaces/webml-community/ternary-bonsai-2-webgpu-kernels submitted by /u/xenovatech [link] [comments]
Open mention