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RTX 5090 Bonsai 2 27B vs Gemma 4 12B vs Qwen 3.5 9B Japanese voxel pagoda

Yesterday I saw that prismml just dropped the new bonsai which is a heavily-quantized version of qwen 3.8 27b claiming over 98% top-1% comparing to fp16, while weighing from ~6gb at Q1 to ~8gb at Q2 . I wanted to see how good this model is compared to other models in this memory range and my choice…

Read the full story at r/LocalLLM ↗

Timeline · 1 report

  1. 2026-09-18 17:40 · r/LocalLLM
    RTX 5090 Bonsai 2 27B vs Gemma 4 12B vs Qwen 3.5 9B Japanese voxel pagoda

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  1. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  2. Alibaba releases Qwen-Image-2.1, a 7B open-weight model it says outperforms most closed-source models, with native transparency and up to ten reference images (Qwen) — Techmeme
  3. Qwen Image 2.1 PR to ComfyUI — r/StableDiffusion
  4. Qwen q4 3.8 27b 16 tok/s 32k RTX 3060 :D — r/LocalLLM
  5. 10 hours left fo Qwen Image 2.1 Public Open Source Release — r/StableDiffusion
  6. Qwen 3.8 27B running on a single RTX 5090 researches and creates a full animation using only code. — r/artificial
  7. US government website used Chinese model the FBI called "malicious" — Ars Technica AI
  8. M2 Mac ultra128gb Qwen flash next — r/LocalLLM

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