Muse Glimmer 30B - pruned
Pruned GGUF build of meta-models/Muse-Glimmer-30B, published by bluevoid-pl.
- Base model:
meta-models/Muse-Glimmer-30B - Size: 27B params
- Architecture: muse-glimmer
- License: Apache 2.0
- HF: bluevoid-pl/Muse-Glimmer-30B-pruned-GGUF
Czym is
Muse Glimmer is a 30B causal language model built for autonomous agentic tasks on consumer hardware. It combines multi-step reasoning, reliable tool use, multimodal input (text + images) and failure recovery into a single model that runs locally without cloud infrastructure.
Pruning
This GGUF is pruned:
- Only latin characters are kept, so emojis and non-latin scripts are physically removed (model still thinks it can output them).
- Pruning reduces model size by ~25%, so it fits on limited VRAM.
- No guarantee of any kind that this GGUF works at all. It might break or die for no reason.
Running
Requires llama.cpp newer than b10430; older versions fail to load. Support in llama.cpp and ollama is partial - prefer the web interface over the CLI. On first start llama.cpp may hang for ~5min and warn special_eot_id is not in special_eog_ids - that warning is expected.
ollama run hf.co/bluevoid-pl/Muse-Glimmer-30B-pruned-GGUF:Q4_K_M
Quantizations
| Quant | Size |
|---|---|
| IQ2_XXS | 7.5 GB |
| IQ2_XS | 8.26 GB |
| IQ2_S | 8.63 GB |
| IQ2_M | 9.35 GB |
| Q2_K_S | 9.51 GB |
| Q2_K | 10.2 GB |
| IQ3_XXS | 10.6 GB |
| IQ3_XS | 11.4 GB |
| Q3_K_S | 12.0 GB |
| IQ3_S | 12.0 GB |
| IQ3_M | 12.3 GB |
| Q3_K_M | 13.1 GB |
| Q3_K_L | 14.1 GB |
| IQ4_XS | 14.6 GB |
| Q4_0 | 15.5 GB |
| Q4_K_S | 15.5 GB |
| Q4_K_M | 16.3 GB |
| Q4_1 | 17.0 GB |
| Q8_0 | 28.7 GB |
| BF16 | 53.9 GB |
Blue Void