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How much VRAM does Muse Glimmer 30B need?

Muse Glimmer 30B needs 16.8 GB for its weights at 4-bit, 18.0 GB with an 8K context and 18.3 GB with 32K. At 8-bit, 30.7 GB.

Parameters
29.8B
Longest context
128K
Released
Aug 2026
License
Apache 2.0
Strongest at
Docs

Memory at each precision

Memory Muse Glimmer 30B needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
16-bit55.5 GB56.7 GB57.0 GB58.2 GB
8-bit29.5 GB30.7 GB31.0 GB32.2 GB
6-bit22.7 GB24.0 GB24.3 GB25.5 GB
5-bit19.7 GB20.9 GB21.2 GB22.5 GB
4-bit16.8 GB18.0 GB18.3 GB19.6 GB
3-bit13.6 GB14.8 GB15.1 GB16.3 GB
2-bit10.4 GB11.6 GB11.9 GB13.1 GB
1.6-bit5.7 GB6.9 GB7.2 GB8.5 GB

One conversation, 16-bit context cache, runtime overhead included.

What runs it

The best way Muse Glimmer 30B runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GBToo big
RTX 4060 Ti 16 GB3-bit40K14 tok/s2.8 s
RTX 30905-bit128K31 tok/s1.7 s
RTX 40905-bit128K33 tok/s0.7 s
RTX 50906-bit128K50 tok/s0.6 s
2× RTX 30908-bit128K21 tok/s1.0 s
RTX PRO 6000 Blackwell8-bit128K39 tok/s0.5 s
M4 Max 128 GB8-bit128K11 tok/s9.7 s
M5 Max 128 GB8-bit128K13 tok/s2.8 s
Ryzen AI Max+ 395 128 GB8-bit128K5.0 tok/s5.6 s
DGX Spark 128 GB8-bit128K6.3 tok/s2.0 s
M3 Ultra 256 GB8-bit128K16 tok/s5.4 s
M5 Ultra 512 GB8-bit128K23 tok/s1.7 s
H100 SXM8-bit128K69 tok/s0.4 s
DGX Station GB3008-bit128K131 tok/s0.2 s
8× H200 NVL8-bit128K95 tok/s0.1 s

Best fit is the highest quality, up to 8-bit, that leaves 16K of context. First reply is the wait for a 2K prompt. Speeds are rough, plus or minus 25%.

How to run it

Ollama
ollama run muse-glimmer:30b
llama.cpp
llama-server -hf unsloth/Muse-Glimmer-30B-GGUF
vLLM
vllm serve meta-models/Muse-Glimmer-30B
MLX (Mac)
mlx_lm.chat --model mlx-community/Muse-Glimmer-30B-4bit

Questions

How much VRAM does Muse Glimmer 30B need?

Muse Glimmer 30B needs 16.8 GB for its weights at 4-bit, 18.0 GB with an 8K context and 18.3 GB with 32K. At 8-bit, 30.7 GB.

Can Muse Glimmer 30B run on an RTX 4090?

Yes. At 5-bit it holds 128K of context and writes about 33 tokens a second.

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