Explore Meta: Muse Glimmer 30B

Meta: Meta: Muse Glimmer 30B

Input: text · image Output: text Context: 131,072 tokens Release: 2026-08-09

Use Cases

Here are a few ways teams apply Meta: Muse Glimmer 30B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Meeting transcription & notes

Multilingual audio translation

Audio understanding

Reliable drafting

Specs

Overview
Vendor
meta
Model ID
meta/muse-glimmer-30b
Release
2026-08-09
Modalities & context
Input
text · image
Output
text
Context
131,072 tokens
Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Defaults: temperature 1, top_p 0.95

Benchmark tests: Meta: Muse Glimmer 30B

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

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up.end
/ˌəpˈend/
verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.