Versioned runtime status

How to Run Muse Glimmer with llama.cpp

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Direct answer

Muse Glimmer support is merged into llama.cpp master through pull request #26841 at commit62bf73d25c53b8161f8a22894d4f90c4aebbd7d0. That proves the upstream merge, not that an older release, packaged binary, wrapper, or downstream integration already contains it.

Upstream evidence

Pin support to a commit, not a product name

Merged at

Timestamp is UTC and records the upstream merge event.

An old binary can fail before memory allocation

A package built before the merge may report an unknown architecture or unsupported model type. That is a build-recognition problem. It is not evidence that the GGUF is too large, corrupted, or incompatible with your hardware.

Safe starting sequence

Verify provenance before assembling a command

  1. 01

    Identify the exact build

    Record the binary's source, build date, revision, and whether a wrapper ships its own embedded llama.cpp version.

  2. 02

    Compare with the merged revision

    Confirm that the build contains the Muse Glimmer merge commit or a later revision that retains the change.

  3. 03

    Verify the official file manifest

    Check the selected main GGUF and any intended Vision projector or DFlash drafter against the official tree.

  4. 04

    Use current upstream documentation

    Runtime arguments can change. Read the documentation shipped with the same build instead of transplanting flags from another model family.

Command status

Generic shape — placeholder only

llama-cli -m [MODEL_PATH] [RUNTIME_OPTIONS]

Why the copy action is disabled

This wiki has not verified an upstream Muse-specific, end-to-end recipe that covers the main file, image companion, and DFlash companion together. The placeholders above are intentionally incomplete and not an executable recipe. No vision or DFlash flags are guessed here.

Limitations

  • A merge into master does not establish availability in a tagged release, package manager, desktop app, or wrapper.
  • The upstream merge is architecture-support evidence, not a per-device compatibility or performance result.
  • Arguments, companion integration, and cache behavior remain build-specific until documented and verified end to end.
  • This page does not execute, upload, or copy commands.

llama.cpp and artifact sources

  1. Official source
    Official Muse Glimmer 30B GGUF model card
  2. Official source
    Official Muse Glimmer 30B GGUF file tree
  3. Upstream source
    llama.cpp PR #26841: Muse Glimmer support
  4. Upstream source
    llama.cpp Muse Glimmer merge commit

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