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PrismML releases Bonsai 2 27B: 5.9 GB Qwen3.8 model, 98% performance

Local ModelsModel QuantizationOpen-Source AIImage Processing
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PrismML releases Bonsai 2 27B: 5.9 GB Qwen3.8 model, 98% performance

Very good progress for local models.

PrismML released Bonsai 2 27B based on Qwen3.8 27B. After three‑digit quantization the model occupies only 5,9 GB, about nine times smaller than the full version.

According to developer tests it retains 98,2 % of the original performance, while supporting image processing and tool calling. The model Hugging Facecollections/prism-mlhuggingface.co/collections/prism-ml/bonsai-2 under Apache 2.0.

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cpaua

VibeCode blog admin. Writing about vibe coding, AI and open source.

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