Can I run Muse Glimmer 30B on an RX 9060 XT 16GB?
Key facts
No: it needs about 18 GB and this card has 16 GB of graphics memory.
It needs about 17.8 GB at standard quality (estimate). Checked . KQuant-17GB Q4_K_M GGUF (official).
Updated · Muse Glimmer 30B on every card
How much memory it needs
That is about 1.2 times what this card has free.
Get a 1-line alert when a faster quant for Muse Glimmer 30B drops — or when GPUs that run it drop >10%
Get a 1-line alert when a new open-weight model fits 24 GB VRAM (17.8 GB at Q4 for Muse Glimmer 30B) or when used RTX 3090 / 4090 & Mac Studio prices drop >10% — weekly, zero spam.
What runs Muse Glimmer 30B instead
The cheapest graphics card on our list that holds the whole model (it still needs the rest of a PC):
GeForce RTX 3090 24GB$1,395€1,246used (median of sold listings)
Fast~43 tok/sAnswers appear faster than you can read them.EU shops · Shown to visitors in Europe.US shops · Shown to visitors outside Europe.
We never pass off an estimate as a benchmark. Commissions never change which hardware we recommend. How we calculate
Price details
$1,395€1,246
How we priced this
Used price, the typical price of second-hand cards that actually sold.
Source: pcprice.watch, checked 24 Oct 2026.
New price, the lowest in stock in the EU: $2,052€2,218 at GPU PRIX, 16 Oct 2026. A Zotac Trinity OC from France.
Used median €1,246 (typical €1,136–€1,334) from 235 cards sold on eBay in the past 90 days, recorded 24 Oct 2026. pcprice.watch refreshed that page on 23 Oct 2026. Not an EU shop price.
Prices excl. shipping unless marked. Euro prices incl. VAT where the seller charges it. Dollar prices are converted from our euro prices without the 21% EU VAT, before US sales tax.
A complete machine that runs it at least as fast as you read: Mac Studio M4 Max 36GB, about $2,116€1,890 (used). Comfortable~11.6 tok/s
See our picks for Muse Glimmer 30B in Find hardware. Add your budget to see cheaper machines.
For comparison, an RX 9060 XT 16GB costs $522€564, new (cheapest in-stock board on GPU PRIX's German board list). Card details
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Muse Glimmer 30B on other graphics cards
Runs well6
The whole model fits in the graphics memory.
Doesn't fit4
Not enough graphics memory: it needs about 17.8 GB.
- RTX 3060 12GBhas 12 GB
- RTX 4060 Ti 16GBhas 16 GB
- RTX 5080has 16 GB
- RX 9060 XT 16GBhas 16 GB
More about the model itself, what it is good at and its licence: Muse Glimmer 30B.
The numbers behind this answer
A model comes in several sizes. Q4 is the standard one most people use; the bigger ones answer a little better but need more memory. Each row adds up the model file, the memory a conversation takes, and some working space, and compares the total with what is free on this card.
Swipe the table sideways to see every column.
| Quality | Conversation | Result | Speed | Model file | Conversation memory | Working space | Total needed | Free memory |
|---|---|---|---|---|---|---|---|---|
| Q4 · standard (smallest that keeps quality) | ~12 pages8,192 tokens | Doesn't fit | — | 16.8 GBmeasured file | 0.2 GB | 0.8 GB | 17.8 GB | 15.4 GB |
| Q5 · a bit sharper, a bit bigger | ~12 pages8,192 tokens | Doesn't fit | — | 21.0 GB | 0.2 GB | 0.8 GB | 22.0 GB | 15.4 GB |
| Q8 · near full quality, almost twice Q4 | ~12 pages8,192 tokens | Doesn't fit | — | 31.7 GB | 0.2 GB | 0.8 GB | 32.7 GB | 15.4 GB |
| FP16 · full quality, over three times Q4 | ~12 pages8,192 tokens | Doesn't fit | — | 59.2 GB | 0.2 GB | 0.8 GB | 60.2 GB | 15.4 GB |
| Q4 · standard, longer conversation | ~49 pages32,768 tokens | Doesn't fit | — | 16.8 GBmeasured file | 0.5 GB | 0.8 GB | 18.1 GB | 15.4 GB |
Sources and method
Memory and speed on this page are our estimate, not a measured test. Checked . KQuant-17GB Q4_K_M GGUF (official).
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 checked 24 Oct 2026 (https://huggingface.co/meta-models/Muse-Glimmer-30B-GGUF), 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), checked 24 Oct 2026, https://ollama.com/library/muse-glimmer. Tech report posted 19 Oct 2026: https://x.com/AIatMeta/status/2112265822274302066.
Questions
- Can I run Muse Glimmer 30B on an RX 9060 XT 16GB?
- No: it needs about 18 GB and this card has 16 GB of graphics memory.
- How much memory does Muse Glimmer 30B need?
- About 17.8 GB at the standard quality (Q4) for a conversation of up to about 12 pages of text (8,192 tokens), by our estimate: 16.8 GB for the model file (measured), 0.2 GB to hold the conversation and 0.8 GB of working space.
- How fast is Muse Glimmer 30B on an RX 9060 XT 16GB?
- There is no speed to give: it doesn't fit on this card.
Speeds and memory are our estimate from the hardware specs, not a measured test. Prices are dated and may change. How we calculate