# Muse Glimmer 30B [Canonical model page](https://headlessthrones.com/models/muse-glimmer-30b) · [Model library](https://headlessthrones.com/models) Public catalog reference from Headless Thrones. Exact catalog ID: `muse-glimmer-30b`. Catalog source-check date: 2026-10-23. This brief contains the public catalog answers and any catalog guide, not private drafts, historical editorial revisions or independently measured rankings. The canonical HTML page may also display separately published editorial. Current catalog answers ## What to know about Muse Glimmer 30B AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026. [Exact model](https://headlessthrones.com/models/muse-glimmer-30b#model-answer-identity) · [Access](https://headlessthrones.com/models/muse-glimmer-30b#model-answer-access) · [Token limits](https://headlessthrones.com/models/muse-glimmer-30b#model-answer-context) · [Dates & knowledge](https://headlessthrones.com/models/muse-glimmer-30b#model-answer-dates) · [Inputs & outputs](https://headlessthrones.com/models/muse-glimmer-30b#model-answer-modalities) · [License](https://headlessthrones.com/models/muse-glimmer-30b#model-answer-license) · [Weight details](https://headlessthrones.com/models/muse-glimmer-30b#model-answer-repository) ### Which Muse Glimmer 30B does this page describe? Muse Glimmer 30B is a model record from **Meta** in the Muse Glimmer family. [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) The recorded model identifier or checkpoint is `meta-models/Muse-Glimmer-30B`. Use that exact identifier when checking documentation or a provider listing. [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) ### How can you access Muse Glimmer 30B? The catalog documents **Open weights** access for Muse Glimmer 30B. [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) As of the catalog check, this version was listed as available. [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement. ### What are Muse Glimmer 30B's context and output limits? The documented **context window is 131,072 tokens**. [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance. Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity. ### What dates are documented for Muse Glimmer 30B? **Knowledge cutoff: January 4, 2026.** [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) This labels the documented knowledge boundary; it is not a promise that every earlier fact is known or correct. **Release date: August 2026.** [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) This is a release milestone, not a knowledge or training cutoff. The source labels this “Model Release Date.” Retrieval or web tools can supply newer information at run time. That does not change the model's recorded training or knowledge dates, and this record does not establish that a particular endpoint includes those tools. ### What can Muse Glimmer 30B receive and generate? Documented inputs: **text and image**. [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) Documented outputs: **text**. [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation. ### What license is recorded for Muse Glimmer 30B? The recorded license label is **Apache-2.0**. [Source](https://huggingface.co/meta-models/Muse-Glimmer-30B) Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service. ### What is documented about the Muse Glimmer 30B checkpoint? This evidence refers to `meta-models/Muse-Glimmer-30B` at recorded revision `cec94fcfd6512f2cfe708138c32533b346ea4f69`, checked October 23, 2026. [Repository metadata](https://huggingface.co/api/models/meta-models/Muse-Glimmer-30B) Safetensors metadata records **29,776,626,688 stored parameters**. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. [Repository metadata](https://huggingface.co/api/models/meta-models/Muse-Glimmer-30B) Recorded architecture class: `MuseGlimmerForConditionalGeneration`. [Repository metadata](https://huggingface.co/api/models/meta-models/Muse-Glimmer-30B) Repository task tag: `image-text-to-text`. A task tag identifies a distribution category; it does not measure performance on that task. [Repository metadata](https://huggingface.co/api/models/meta-models/Muse-Glimmer-30B) Listed library: `transformers`. Check that library's version and model support before loading the weights. [Repository metadata](https://huggingface.co/api/models/meta-models/Muse-Glimmer-30B) Repository access gate: `false`. This records the repository's gate setting when checked; licensing and use terms still apply. [Repository metadata](https://huggingface.co/api/models/meta-models/Muse-Glimmer-30B) #### What the configuration file says The pinned `config.json` section `text_config` contains these values. [Pinned configuration](https://huggingface.co/meta-models/Muse-Glimmer-30B/resolve/cec94fcfd6512f2cfe708138c32533b346ea4f69/config.json) `max_position_embeddings`: 131,072 `sliding_window`: 2,048 `torch_dtype`: bfloat16 `num_attention_heads`: 32 `num_key_value_heads`: 2 `num_hidden_layers`: 52 `hidden_size`: 6,656 Configuration values describe the checkpoint and its implementation. In particular, max\_position\_embeddings, sliding\_window and rope\_scaling do not independently establish an API context limit, tested usable length or hardware requirement. Runtime, quantization, cache, batch size and input length affect deployment behavior. Read the retrieved model card for setup and qualifications. [Model card](https://huggingface.co/meta-models/Muse-Glimmer-30B/resolve/cec94fcfd6512f2cfe708138c32533b346ea4f69/README.md) **Catalog qualifications:** Model card states 131,072+ context; baseline is shown, not an invented hard maximum. Assistant speculative-decoding helper is not a separate user-facing model. [Source 1](https://huggingface.co/api/models/meta-models/Muse-Glimmer-30B) · [Source 2](https://huggingface.co/meta-models/Muse-Glimmer-30B/resolve/cec94fcfd6512f2cfe708138c32533b346ea4f69/README.md) · [Source 3](https://huggingface.co/meta-models/Muse-Glimmer-30B/resolve/cec94fcfd6512f2cfe708138c32533b346ea4f69/config.json) **Evidence still missing here:** tested hardware requirements. Missing documentation is not evidence that a feature is unavailable. Headless Thrones has not independently benchmarked this model for this reference. Evaluate it on representative work before choosing it; these facts do not rank its accuracy, reliability, speed or suitability against another model.