Can I Run / Muse Glimmer 30B / on NVIDIA L40
Can I Run Muse Glimmer 30B on a NVIDIA L40?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
30.0B
GPU memory
48.0GB
Smallest quant
Q4_K_M
Best fit
Q8_0
4 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 32.9 GB | 34.4 GB | 31.9 GB | +15.1 GB |
| Q6_K | 25.7 GB | 27.2 GB | 24.7 GB | +22.3 GB |
| Q5_K_M | 22.3 GB | 23.8 GB | 21.3 GB | +25.7 GB |
| Q4_K_M | 19.2 GB | 20.7 GB | 18.2 GB | +28.8 GB |
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Full model details
Muse Glimmer 30B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA L40 →
Top-ranked open-source models that fit in 48.0GB.
FAQ
Can the NVIDIA L40 run Muse Glimmer 30B?
Yes. The NVIDIA L40's 48.0GB of VRAM is enough to run Muse Glimmer 30B at Q8_0 quantization (32.9GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 48.0GB. It uses about 32.9GB of memory and 34.4GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.