№ 0132Reddit post
Muse Glimmer's style for code refactoring
A LocalLLM user prefers Muse Glimmer over Qwen 3.8 27B for refactoring style, especially with typo-ridden prompts and contradictions in existing code.
u/ag789 compared ~30B local models for refactoring and found Qwen 3.8 27B strong, but preferred Muse Glimmer's thinking style for handling incorrect prompts and resolving contradictions in existing code during refactors.
I'm liking Muse Glimmer better (for coding)
started trying out rather recent 'frontier' about ~30b param models recently, there are many choices including QWen 3.8 - this is nevertheless a great model, practically 'one-shotting' code refactoring tasks https://huggingface.co/Qwen/Qwen3.8-27B https://huggingface.co/unsloth/Qwen3.8-27B-GGUF code refactoring is still deemed 'difficult', practically 'infinite' permutations and dependencies which LLMs need to work through itself for code refactoring. But that in terms of style, I'm liking Muse Glimmer better https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model https://huggingface.co/meta-models/Muse-Glimmer-30B https://huggingface.co/meta-models/Muse-Glimmer-30B-GGUF https://huggingface.co/unsloth/Muse-Glimmer-30B-GGUF this is in particular when it comes to *incorrect* (e.g. mistakes, typos) prompts, resolving contradictions in existing codes during refactoring, code proposals etc. The handling especially the 'thinking' is different. LLMs have 'styles' and it is great that we've different creators for them
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