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Muse Glimmer 30B: how much memory, and what runs it

Meta's agentic model, distilled from Muse Spark, built for tool use on consumer hardware. Dense (no experts in the config). The card says about 29.6B parameters, including the vision encoder, of which about 1.8B is a ViT-G/14 perception encoder. Text and image in, text out. Context 131,072. Licence Apache 2.0. The download is not gated. The card's Model Release Date is August 2026. The Hugging Face repo was created on 9 Aug 2026. Knowledge cutoff 4 Jan 2026 (model card). text_config: 52 layers, hidden size 6656, 32 attention heads, 2 KV heads, head dim 128, vocab 202,048. 13 layers are full attention and 39 are sliding attention with a 2048-token window, so the full-attention share is 13/52. KV in this table is this site's FP16 estimate on those 13 full layers plus the 2048-token window. Official GGUFs need llama.cpp b10353 or newer (PR #26841, merged 10 Aug 2026, https://github.com/ggml-org/llama.cpp/pull/26841). Measured GGUF files, decimal GB, Hugging Face listing 20 Oct 2026, vision projector and drafter excluded: KQuant-17GB-Q4_K_M 16.76 GB and KQuant-Dynamic-Q4_K_XL 19.65 GB. About 4.5 and 5.3 bits per weight, estimated from those file sizes and 29.6B parameters. BF16 safetensors are 59.55 GB (2 shards) on the base repo; that row is not a GGUF. The memory table does not include the vision projector or the drafter: +1.40 GB mmproj for image input; +1.63 GB optional DFlash drafter. The GGUF card's rough totals are about 17 GB, about 19 GB with vision, and about 20 GB with vision and the drafter for the 17 GB quant, and about 20 / 22 / 23 GB for the dynamic quant. The base card says Q4_K_M targets 24 GB VRAM and Dynamic targets 32 GB VRAM, with degradation 1.0% and 0.2%. That is Meta-reported guidance, not this site's fit score. Ollama: muse-glimmer (about 18 GB) and muse-glimmer:30b-mlx (about 19 GB), https://ollama.com/library/muse-glimmer. Tech report posted 19 Oct 2026: https://x.com/AIatMeta/status/2112265822274302066.

Muse Glimmer 30B needs about 17.8 GB at Q4_K_M with 8K context (estimate). See which GPUs and Macs fit it, estimated tokens/sec, and EU prices.

QuantisationEstimated memory
Q417.8 GBestimate
Q522.0 GBestimate
Q832.7 GBestimate
FP1660.2 GBestimate

At 8,192 tokens of context. Catalog quant rates are a formula. sourceUrl on that memory stays null.

Parameter count source: huggingface.co/meta-models/Muse-Glimmer-30B. Marked estimated because the published count is rounded.

VRAM per quant and the cheapest rig for Muse Glimmer 30B

Open in the calculator

Three setups

Muse Glimmer 30B · Q4 · 8,192 ctx

Estimated memory

17.8 GBestimate

16.8 GB weights · 0.2 GB KV cache · 0.8 GB overhead

  1. 01 · Fastest

    PC with RTX 5090 32GB

    Highest bandwidth in a single card. 32 GB is plenty for 32B, still too tight for 70B Q4.

    $8,956€8,000

    price as of 20 Oct 2026

    64 GB DDR4 (estimate): $672€600. From the 16 Oct 2026 fact-check.

    rest of system (estimate): $560€500. The total is the GPU price plus the RAM line plus this estimate. It is not a checked system price.

    price unverified

    GPU line is the new in-stock floor €6,900 from PriceSquirrel at Joybuy (FR) (https://www.pricesquirrel.com/gpus/rtx-5090). 64 GB DDR4 (estimate) €600, from the 16 Oct 2026 fact-check. Rest of system (estimate) €500. Other parts from €500 in that fact-check. Not a shop listing. The parts list names 96 GB DDR5. That kit was not priced, so this total uses the sourced 64 GB DDR4 line. The total is the GPU price plus the RAM line plus that rest estimate. It is not a checked system price.

    tok/s estimate

    81

    estimate

    needed

    17.8 GB

    full fit

    usable

    31.4 GB

    VRAM

    Why this one

    • The model fits entirely in VRAM or unified memory. No CPU offload.
    • High memory bandwidth, so a higher tokens-per-second estimate.
    • Highest estimated speed in this shortlist.

    Parts

    • GeForce RTX 5090 32GB
    • 96 GB DDR5 is named here and was not priced.
    • 64 GB DDR4 (estimate): €600. from the 16 Oct 2026 fact-check.
    • Rest of system (estimate): €500. Other parts from €500 in that fact-check. Not a shop listing.
    • Ryzen 7 9700X or similar
    • 1200W PSU, roomy case

  2. 02 · Best value

    Used PC with RTX 3090 24GB

    Best single card here for 32B Q4. 70B Q4 does not fully fit.

    $2,602€2,324

    price as of 16 Oct 2026

    64 GB DDR4 (estimate): $672€600. From the 16 Oct 2026 fact-check.

    rest of system (estimate): $560€500. The total is the GPU price plus the RAM line plus this estimate. It is not a checked system price.

    price unverified

    GPU line is the used median €1,224, labelled used, from pcprice.watch (https://www.pcprice.watch/gpu-buying-guide/rtx-3090-price-used-and-specs). 64 GB DDR4 (estimate) €600, from the 16 Oct 2026 fact-check. Rest of system (estimate) €500. Other parts from €500 in that fact-check. Not a shop listing. The total is the GPU price plus the RAM line plus that rest estimate. It is not a checked system price.

    used

    tok/s estimate

    43

    estimate

    needed

    17.8 GB

    full fit

    usable

    23.4 GB

    VRAM

    Why this one

    • The model fits entirely in VRAM or unified memory. No CPU offload.
    • High memory bandwidth, so a higher tokens-per-second estimate.
    • Second-hand or a previous generation. The price moves around.
    • Most estimated tokens per euro in this shortlist.

    Parts

    • GeForce RTX 3090 24GB, used
    • 64 GB DDR4 (estimate): €600. from the 16 Oct 2026 fact-check.
    • Rest of system (estimate): €500. Other parts from €500 in that fact-check. Not a shop listing.
    • Ryzen 7 5700X or similar
    • 850W PSU, decent airflow

  3. 03 · Other platform

    Mac Studio M5 Ultra 96GB

    High bandwidth and enough memory for 70B Q4/Q5. FP16 70B does not fit.

    $7,444€6,649

    price as of 16 Oct 2026

    Belgian Apple Store

    Belgian Apple Store price for this config, from the 16 Oct 2026 fact-check.

    tok/s estimate

    34

    estimate

    needed

    17.8 GB

    full fit

    usable

    72.0 GB

    unified

    Why this one

    • The model fits entirely in VRAM or unified memory. No CPU offload.
    • Memory left for a longer context or a heavier quantisation.
    • Unified memory: weights and KV cache share one pool.
    • High memory bandwidth, so a higher tokens-per-second estimate.
    • One box, little noise, no discrete GPU.
    • A different brand, so you don't see the same PC three times.

    Parts

    • Mac Studio M5 Ultra, 96 GB, 1.2 TB/s

With CPU offload, and therefore slower, this could also work: Mid-range PC with RTX 4060 Ti 16GB, ~8.1 tok/s estimate, $2,238€1,999.

Tokens per second are estimated from memory bandwidth, not from a measured benchmark. Prices incl. VAT, excl. shipping. USD = FX estimate, excl. sales tax. A price without a checked listing is marked price unverified. Run llama-bench yourself before you buy.

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Common questions

How much memory does Muse Glimmer 30B need at Q4?
About 17.8 GB at 8,192 tokens: 16.8 GB weights, 0.2 GB KV cache, 0.8 GB overhead. That is an estimate. sourceUrl stays null.
Does Muse Glimmer 30B fit on a single 24 GB GPU?
The estimate of 17.8 GB sits under the 23.4 GB we treat as usable on a 24 GB card. It is still an estimate, not a measured file.
Are the tokens per second measured?
No. Speed follows from bandwidth and an assumed utilisation. benchmarkSourceUrl stays null.