---

base_model:

• meta-models/Muse-Glimmer-30B
• meta-models/Muse-Glimmer-30B-assistant

base_model_relation: quantized

library_name: llama.cpp

pipeline_tag: image-text-to-text

license: apache-2.0

tags:

• gguf
• llama.cpp
• rocm
• rocmfpx
• amd
• strix-halo
• gfx1151
• imatrix
• multimodal
• muse-glimmer
• conversational
• dflash
• speculative-decoding

---

Muse-Glimmer-30B ROCmFPX GGUF

ROCmFP4 and ROCmFP8 builds of

meta-models/Muse-Glimmer-30B,

targeted and tested on AMD Strix Halo (gfx1151). Rawr. 🦖

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:

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

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:

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

Vision:

./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):

./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.