At publication time, a Hub search returned no other Muse Glimmer ROCmFPX repositories. These are custom ROCmFPX formats, not ordinary llama.cpp Q4/Q8 files; read the compatibility section before downloading.

Experimental runtime required: these GGUFs need a patched build of charlie12345/ROCmFPX. Stock llama.cpp does not implement the ROCmFP4/ROCmFP8 tensor layouts, while the pinned ROCmFPX base predates Muse Glimmer support. Apply the included ROCmFPX-Muse-Glimmer.patch to ROCmFPX commit 00d54526e…, then build that checkout. The patch adds the upstream Muse text, vision, and DFlash support, ports it to ROCmFPX's older APIs, supplies the FP16 sparse-attention mask required by its multimodal flash-attention path, and backports the DFlash injected-cache rotation fix required when using quantized KV caches.

Files

Click a filename to download it directly from the Hub.

File	ROCmFPX preset	Size	BPW	iMatrix	Prompt t/s	Output t/s
`Muse-Glimmer-30B-ROCmFP4.gguf`	`Q4_0_ROCMFP4_STRIX`	14.17 GiB	4.36	Yes	113.7	14.9
`Muse-Glimmer-30B-ROCmFP4-Q6-QUALITY.gguf`	`Q4_0_ROCMFP4_COHERENT`	14.94 GiB	4.60	Yes	39.0	14.0
`Muse-Glimmer-30B-ROCmFP8.gguf`	`Q8_0_ROCMFPX`	26.77 GiB	8.25	No	96.7	7.8
`mmproj-Muse-Glimmer-30B-BF16.gguf`	BF16 vision projector	3.59 GiB	—	—	81.7	14.9
`Muse-Glimmer-30B-DFlash-ROCmFP4.gguf`	`Q4_0_ROCMFP4_STRIX` drafter	1.39 GiB	4.63	No	65.5¹	28.3¹
`Muse-Glimmer-30B-DFlash-ROCmFP8.gguf`	`Q8_0_ROCMFPX` drafter	2.47 GiB	8.25	No	65.1¹	27.2¹

¹ End-to-end target measurement with Muse-Glimmer-30B-ROCmFP4.gguf, DFlash enabled, and a six-token draft window. These are three-run means; the main-model and projector rows are the earlier short smoke tests described under Validation.

Suggested choices:

ROCmFP4: default Strix Halo speed/quality build. Fast FP4 body, dual-scale FP4 attention K/V, and Q6_K token embeddings.
ROCmFP4-Q6-QUALITY: coherence-biased build. Dual-scale FP4 throughout the body with Q6_K token embeddings.
ROCmFP8: high-fidelity 8.25-bpw reference build.
DFlash ROCmFP4: recommended drafter on Strix Halo. It is smaller and was slightly faster than the FP8 drafter in the measured six-token configuration.
DFlash ROCmFP8: higher-precision drafter reference; useful for comparing acceptance behavior and tuning on other hardware.

The BF16 projector works with all three text models.

iMatrix

Both FP4 models use the same GGUF importance matrix:

500 chunks × 512 tokens (approximately 256k calibration tokens)
416 tensor importance entries consumed by each quantizer
varied narrative/general-language calibration corpus
checkpoints saved every 100 chunks

Q8_0_ROCMFPX does not consume importance weights, so the FP8 reference was intentionally built without an iMatrix.

The two DFlash drafters were quantized directly from Meta's official assistant checkpoint without an iMatrix. Their role is proposal generation: every draft is verified by the main model, so drafter quantization changes acceptance and speed rather than bypassing the target model's output decision.

Compatibility

These files use experimental ROCmFPX tensor types and will not load in stock llama.cpp.

The validated runtime was built from:

ROCmFPX base commit 00d54526e24e3aba4c76474e3147cbf9c7cc034c
upstream llama.cpp Muse support commit 62bf73d25c53b8161f8a22894d4f90c4aebbd7d0
small compatibility adaptations for the older ROCmFPX chat, model, and multimodal APIs
the upstream DFlash quantized-cache rotation fix, adapted to this older graph API; without it, Q4_0 draft KV caches load but produce near-zero acceptance

ROCmFPX-Muse-Glimmer.patch contains the complete patch against the pinned ROCmFPX base. The runtime was built with ROCm and Vulkan backends; the reported generation tests used ROCm0 on gfx1151.

Minimal runtime setup:

bash

git clone https://github.com/charlie12345/ROCmFPX.git
cd ROCmFPX
git checkout 00d54526e24e3aba4c76474e3147cbf9c7cc034c

hf download vmlinux/Muse-Glimmer-30B-ROCmFPX-GGUF \
  ROCmFPX-Muse-Glimmer.patch \
  --local-dir /tmp/muse-glimmer-rocmfpx
git apply /tmp/muse-glimmer-rocmfpx/ROCmFPX-Muse-Glimmer.patch

BUILD_DIR=build-muse-rocmfpx \
JOBS=16 \
CMAKE_HIP_COMPILER=/opt/rocm-7.2.0/lib/llvm/bin/clang++ \
GGML_HIP_ROCWMMA_FATTN=OFF \
./scripts/build-strix-rocmfp4-mtp.sh

Adjust CMAKE_HIP_COMPILER for the installed ROCm version. The resulting runtime binaries are under build-muse-rocmfpx/bin/. The patch must be applied to the exact pinned commit; git apply --check was verified before publishing.

Download and run

bash

hf download vmlinux/Muse-Glimmer-30B-ROCmFPX-GGUF \
  Muse-Glimmer-30B-ROCmFP4.gguf \
  Muse-Glimmer-30B-DFlash-ROCmFP4.gguf \
  mmproj-Muse-Glimmer-30B-BF16.gguf \
  --local-dir ./Muse-Glimmer-30B-ROCmFPX

Text:

bash

./llama-cli \
  -m ./Muse-Glimmer-30B-ROCmFPX/Muse-Glimmer-30B-ROCmFP4.gguf \
  -dev ROCm0 -ngl all -c 8192 -cnv

Vision:

bash

./llama-cli \
  -m ./Muse-Glimmer-30B-ROCmFPX/Muse-Glimmer-30B-ROCmFP4.gguf \
  -mm ./Muse-Glimmer-30B-ROCmFPX/mmproj-Muse-Glimmer-30B-BF16.gguf \
  --image ./image.png \
  -p "Describe this image." \
  -dev ROCm0 -ngl all -c 8192 -cnv -st

DFlash speculative decoding (recommended starting point):

bash

./llama-cli \
  -m ./Muse-Glimmer-30B-ROCmFPX/Muse-Glimmer-30B-ROCmFP4.gguf \
  --model-draft ./Muse-Glimmer-30B-ROCmFPX/Muse-Glimmer-30B-DFlash-ROCmFP4.gguf \
  --spec-type draft-dflash \
  -dev ROCm0 -ngl all \
  --spec-draft-device ROCm0 --spec-draft-ngl all \
  -ctk q4_0 -ctv q4_0 \
  --spec-draft-type-k q4_0 --spec-draft-type-v q4_0 \
  --spec-draft-n-max 6 --spec-draft-n-min 0 \
  --spec-draft-p-min 0.0 --spec-draft-p-split 0.10 \
  --no-spec-draft-backend-sampling \
  -c 8192 -cnv

Validation

All three files completed clean, single-turn ROCm generation with every layer offloaded. The projector completed an end-to-end image test and correctly identified the test image as a folder icon.

Model	Prompt processing	Token generation
ROCmFP4	113.7 tok/s	14.9 tok/s
ROCmFP4-Q6-QUALITY	39.0 tok/s	14.0 tok/s
ROCmFP8	96.7 tok/s	7.8 tok/s
ROCmFP4 + BF16 projector	81.7 tok/s	14.9 tok/s

These are short smoke-test measurements, not a formal benchmark. Host: AMD Strix Halo gfx1151, 128 GiB unified memory, ROCm backend, 1,024-token text context (2,048 for vision).

DFlash benchmark

The additive DFlash benchmark used the default ROCmFP4 target, batch size 1, greedy decoding, three text prompts, 256 generated tokens per prompt, a 2,048-token context, flash attention, full ROCm0 offload, and Q4_0 target and draft KV caches. Values are arithmetic means of the three runs.

Mode	Draft window	Prompt t/s	Output t/s	Speedup	Output range	Weighted draft acceptance
No speculation	—	73.7	13.7	1.00×	13.7–13.7	—
DFlash ROCmFP4	6	65.5	28.3	2.07×	24.3–31.8	35.8% (519/1,448)
DFlash ROCmFP8	6	65.1	27.2	1.99×	24.1–33.0	35.7% (519/1,454)
DFlash ROCmFP4	15	65.6	24.6	1.80×	18.5–30.7	17.1% (543/3,171)
DFlash ROCmFP8	15	65.3	26.3	1.92×	19.2–34.6	19.5% (563/2,891)

Raw llama.cpp throughput lines for all 15 benchmark runs:

Mode	Window	Prompt 1 `[Prompt \| Output]`	Prompt 2 `[Prompt \| Output]`	Prompt 3 `[Prompt \| Output]`
No speculation	—	55.3 t/s \| 13.7 t/s	83.5 t/s \| 13.7 t/s	82.4 t/s \| 13.7 t/s
DFlash ROCmFP4	6	50.3 t/s \| 28.8 t/s	73.7 t/s \| 24.3 t/s	72.5 t/s \| 31.8 t/s
DFlash ROCmFP8	6	50.2 t/s \| 24.6 t/s	73.4 t/s \| 24.1 t/s	71.8 t/s \| 33.0 t/s
DFlash ROCmFP4	15	50.2 t/s \| 24.6 t/s	74.2 t/s \| 18.5 t/s	72.5 t/s \| 30.7 t/s
DFlash ROCmFP8	15	50.4 t/s \| 25.2 t/s	73.5 t/s \| 19.2 t/s	72.1 t/s \| 34.6 t/s

This is a small local throughput benchmark, not a universal performance claim. Acceptance depends strongly on prompt and generation content. Six draft tokens was the best tested practical default on this host; tune it for your workload.

Additional verification:

731 tensors and muse-glimmer architecture in every text GGUF
809 tensors and 50 vision blocks in the projector
ROCmFP4 kernel copy/conversion tests: 34/34 passed on Vulkan
test-quantize-fns and architecture tests passed
SHA-256 hashes supplied in SHA256SUMS

DFlash, not MTP

These new companion files are converted from Meta's official Muse-Glimmer-30B-assistant checkpoint. It is a five-layer MuseGlimmerAssistantModel using DFlash block diffusion with a trained block size of 16. Run it with --spec-type draft-dflash; it is not an MTP checkpoint and should not be run with draft-mtp.

Provenance

Source revision: f84ecc3a0ea984a4c04542a84269e3d065350a6e
DFlash source revision: 2c86316d689027b91123638739743fef1d425233
Conversion: upstream llama.cpp d2f83055dca6dd009d8a52bdff792fbb286f4444
Every published GGUF is covered by SHA256SUMS; source, intermediate, and calibration hashes are retained in PROVENANCE_SHA256SUMS
Detailed local build report: BUILD_RESULTS.md

The original model license and usage policy apply. See the source model card before use.

Mode	Window	Prompt 1 `[Prompt \| Output]`	Prompt 2 `[Prompt \| Output]`	Prompt 3 `[Prompt \| Output]`
No speculation	—	55.3 t/s \| 13.7 t/s	83.5 t/s \| 13.7 t/s	82.4 t/s \| 13.7 t/s
DFlash ROCmFP4	6	50.3 t/s \| 28.8 t/s	73.7 t/s \| 24.3 t/s	72.5 t/s \| 31.8 t/s
DFlash ROCmFP8	6	50.2 t/s \| 24.6 t/s	73.4 t/s \| 24.1 t/s	71.8 t/s \| 33.0 t/s
DFlash ROCmFP4	15	50.2 t/s \| 24.6 t/s	74.2 t/s \| 18.5 t/s	72.5 t/s \| 30.7 t/s
DFlash ROCmFP8	15	50.4 t/s \| 25.2 t/s	73.5 t/s \| 19.2 t/s	72.1 t/s \| 34.6 t/s