PrismML Releases Ternary Bonsai 2 27B: A 5.9 GB Apache 2.0 Model Retaining 98.2% of Qwen3.8 27B Performance
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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 reports that it keeps 98. 2% of the parent model’s average across 20 benchmarks.
The model accepts text and images and supports a 262K-token context. PrismML demos it driving Cline coding […] The post PrismML Releases Ternary Bonsai 2 27B: A 5. 9 GB Apache 2. 0 Model Retaining 98. 2% of Qwen3. 8 27B Performance appeared first on MarkTechPost.
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