Ternary Bonsai 2 (27B) just released on Hugging Face. At <6GB in size, it can even run locally in-browser on WebGPU.
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| | 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. [link] [comments] |
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