Bonsai-27B Runs on a Single RTX 3090: Practical Strengths and Limits Tested

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The Bonsai-27B language model, released this week in GGUF quantized format by prism-ml, can run on a single consumer RTX 3090 GPU using roughly 16GB of memory with no special hardware tricks required. Its Mixture-of-Experts architecture activates only 3 billion of its 35 billion parameters per token, delivering speeds of around 28 tokens per second at 4K context on consumer hardware. In hands-on testing, the model performed reliably on structured data extraction and retrieval-augmented generation tasks but struggled with multi-step reasoning and complex agent workflows beyond three reasoning hops. The model is licensed under Apache 2.0, allowing unrestricted commercial deployment without legal caveats. Reviewers suggest it suits classification, structured extraction, and single-turn RAG pipelines but is not a substitute for larger dense models on tasks requiring deep reasoning chains.

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ProgrammingDEV Community ·

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