Early users praise the compressed model as a practical local-AI option
1 Sep 17 11:05 PM · 9d ago · 1 article · 2 posts · 3 sources · development 1 of 2
A Bluesky user highlighted the model's usefulness for recommending capable local AI to people with ordinary laptops, pointing to the 6 GB weights and a browser-native WebGPU demo.
“it's so nice to have a capable local model i can recommend to people in my life who only have normal laptops, super valuable drop.”
@crumbBabak Hassibi CEO of PrismMLIon Stoica PrismML adviserPrismML AI startup
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first by RuntimeWire, 9d ago
What people said 5 voices · verbatim
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it's so nice to have a capable local model i can recommend to people in my life who only have normal laptops, super valuable drop. check out the new prism-ml quantization of Qwen3.8-27b. 6GB weights! — blog: prismml.com/news/bonsai-... webgpu (browser-native!) demo: huggingface.co/spaces/webml... …
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everyone is obsessed with massive models but prismml gets it. tiny llms will win because latency is the only feature that actually matters for ai video. the era of waiting for a token stream to finish is dead.
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Wow, this is a true wow! Installing now… https:// techcrunch.com/2026/09/17/pris mml-hopes-its-tiny-llm-could-change-how-we-all-use-ai/
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If AI lab PrismML isn't on your radar yet, it should be. #Techcrunch #breakingnews #news #othur
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PrismML espera que su pequeño LLM cambie la forma en que todos usamos la IA —
All 2 developments of PrismML launches Bonsai 2, a 5.9GB model matching 98% of… →
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