Muse Glimmer 30B VRAM Requirements
Developed by Meta
Find out exactly how much VRAM you need to run Muse Glimmer 30B locally. Calculate the memory footprint of different GGUF quantization variants (like Q4_K_M or Q8_0), estimate your context length KV cache VRAM footprint, and determine if your hardware supports a full GPU VRAM offload or if you will need to rely on slow partial CPU offloading to avoid a CUDA Out of Memory (OOM) error.
Hardware Configuration
Adjust settings to check compatibility with your system in real time.
Available: 14.50 GB
Available: 29.00 GB
KV Cache & Overhead (1.5 GB) plus 13.0 GB weights fit in GPU VRAM (14.5 GB VRAM used). Remaining 2.9 GB weights are offloaded to System RAM (5.9 GB RAM required with OS).
Requires 17.36 GB total memory (weights: 15.90 GB, context overhead: 0.18 GB, activation overhead: 1.29 GB).
Muse Glimmer 30B Quantization Formats & VRAM Compatibility
Select a format to set it as active and calculate your system fit dynamically.
| Quant | Weights | KV Cache | Overhead | Total VRAM | Status | Links |
|---|---|---|---|---|---|---|
| Base (Unquantized) | 55.46 GB | 0.18 GB | 4.45 GB | 60.09 GB | Too Large | HF weights |
| UD-Q4_K_XL | 15.90 GB | 0.18 GB | 1.29 GB | 17.36 GB | CPU Offload | GGUF |
| UD-Q8_K_XL | 32.30 GB | 0.18 GB | 2.60 GB | 35.08 GB | CPU Offload | GGUF |
Muse Glimmer 30B KV Cache Memory Breakdown
How to Setup and Run Muse Glimmer 30B Locally
Method A: Ollama (Recommended)
Ollama is the easiest way to run models in the background. First, download it from ollama.com, then execute this terminal command:
ollama run <model-name>Method B: LM Studio (GUI)
If you prefer a full graphical interface with chat UI and local server hosting:
- Download and install LM Studio.
- Search for Muse Glimmer 30B in the home page search tab.
- Select a quantization level (like Q4_K_M) that fits your VRAM, click download, and load it to chat.
Model Specs
- DeveloperMeta
- Parameter Count30B
- Base File Size55.5 GB
- AvailabilityLocal-Only
- Input ModalitiesTextImage
Standard Benchmark Scores
Commercial API Pricing
This model is self-hosted only or official API pricing is not available.
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