Ternary Bonsai 2 发布：基于 Qwen3.8-27B
Ternary Bonsai 2 (27B) just released on Hugging Face. At <6GB in size, it can even run locally in-browser on WebGPU.
| 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]
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力