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Bonsai-Ternary-27B model runs complex AI tasks locally on 16GB GPU

A user shared their experience running the Bonsai-Ternary-27B model locally on a 4060Ti 16GB GPU for knowledge base management and productivity tasks. The model successfully handled complex tasks, including querying, synthesizing information, and interacting with a custom project management system, even processing image-based data. While it demonstrated good reasoning and tool-use capabilities, its performance was hampered by slower prefill speeds (600-700tk/s) compared to expectations and significant KV cache usage, limiting the context window to 150k tokens even with quantization. AI

IMPACT Demonstrates the feasibility of running complex AI agent tasks locally on consumer hardware, though performance limitations exist.

RANK_REASON User experience report on a specific LLM for local use cases.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Bonsai-Ternary-27B model runs complex AI tasks locally on 16GB GPU

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/o0genesis0o ·

    User experience of Bonsai-Ternary-27B on 4060Ti 16GB for KB management and productivity assistant use cases

    <!-- SC_OFF --><div class="md"><p>Howdy folks,</p> <p>Long time reader here. This time, I would like to share my experience with this model that I have been cautiously optimistic about when I saw the announcement post on this thread. </p> <p>-----</p> <p><strong>My setup:</strong…