Introducing Muse Glimmer

Meta released Muse Glimmer, a new local large language model optimized for end-to-end agentic task completion, reliable tool use, and multi-step reasoning, achieving strong success rates on benchmarks including DeepSearch QA, MCP-Atlas, τ-Bench, and SWE-Bench. Simon Willison tested the 18.16 GB version via LM Studio and his llm-coding-agent plugin, noting the model's suitability for machines with 32 GB or more RAM.

They claim to have optimized it for exactly the kind of things I'm looking for in a local model: End-to-end Agentic Task Completion.Muse Glimmer achieves strong success rates on full-task benchmarks including DeepSearch QA, MCP-Atlas, 𝛕-Bench and SWE-Bench, which measure its ability to work within scaffolds, write and debug code, and resolve multi-turn requests from start to finish.Reliable Tool Use.The model handles a wide range of function calls, invoking tools with precise schemas throughout extended workflows.Multi-Step Reasoning.Muse Glimmer chains reasoning over long horizons, sustaining coherent plans across complex, extended workflows. ... Here's a pelican https://gist.github.com/simonw/f20d4cd0ea7596990f7910ead616493e which I generated using LM Studio's 18.16 GB version of the model https://lmstudio.ai/models/muse-glimmer : I also tried it out with my llm-coding-agent https://github.com/simonw/llm-coding-agent plugin, running against a fresh checkout of Datasette with the prompt: how does auth work? Here's the response https://gist.github.com/simonw/3623676275da1a6078b2500dcc78116f response-24 , at the end of a long transcript showing all of the tool calls it made to explore the codebase. I really like this size of model, because if a machine has 32 GB of RAM or more mine has 128GB it leaves plenty of space for running other applications at the same time. Via Hacker News https://news.ycombinator.com/item?id=49241679 Tags: ai https://simonwillison.net/tags/ai , generative-ai https://simonwillison.net/tags/generative-ai , llama https://simonwillison.net/tags/llama , local-llms https://simonwillison.net/tags/local-llms , llms https://simonwillison.net/tags/llms , meta https://simonwillison.net/tags/meta , llm-release https://simonwillison.net/tags/llm-release