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Dyluhn/Muse-Glimmer-30B-R9V-V1
Muse-Glimmer-30B-R9V-V1 is a image-text-to-text model from Dyluhn. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Rough-draft release. This is the first public R9V model package, not the best available Muse Glimmer quant. It currently loses badly to Unsloth's higher-fidelity Q5/Q6 work in the quality evaluation used here. Do not…
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From the Hugging Face model README
Rough-draft release. This is the first public R9V model package, not the best available Muse Glimmer quant. It currently loses badly to Unsloth's higher-fidelity Q5/Q6 work in the quality evaluation used here. Do not infer quality superiority from the R9V name or the V1 label.
V1 is the public release name. V12 is the internal research lineage of the
exact GGUF and remains in manifests and hashes for reproducibility.
The complete package, including the optional projector and DFlash sidecar, is
pinned at Hugging Face revision
093f8ced7a8e2308b0f597084ebdbfa5f6614f75.
f4870ff4ac316c1dbf50a55501f4c00e16070336fc40e119ff1167e43382856asources.lock.jsonAll figures below use the same native-BF16 teacher, evaluator, 480 chunks, 512 tokens per chunk, and 122,400 evaluated positions.
| Quant | Bytes | Mean KLD (lower is better) | Same top prediction |
|---|---|---|---|
| R9V V1 / V12 | 24,554,611,392 | 0.006121 | 96.879% |
| Unsloth Q4 comparison | 15,878,222,368 | 0.016883 | 94.806% |
| Unsloth UD-Q5_K_XL | 21,789,618,976 | 0.003071 | 97.724% |
| Unsloth UD-Q6_K_XL | 26,265,362,976 | 0.001034 | 98.752% |
On this evaluator V1 beats the compared Unsloth Q4, but that is not the useful headline: V1 has about 1.99x the KLD of Unsloth Q5 despite being roughly 2.76 GB larger, and about 5.92x the KLD of Unsloth Q6. This package is a speed-oriented engineering draft and a reproducible starting point for R9V, not a recommendation over Unsloth's quality quants.
See the R9V benchmark report and qualification report.
The model artifact remains under Apache License 2.0. It is derived
immediately from Unsloth's pinned Q8_0 GGUF of Meta's Muse Glimmer 30B model
and was requantized with llama.cpp/ggml tooling. Exact revisions and hashes are
in sources.lock.json; complete attribution and Meta
usage-policy guidance are in
THIRD_PARTY_NOTICES.md.