Muse Glimmer 30B - pruned

Pruned GGUF build of meta-models/Muse-Glimmer-30B, published by bluevoid-pl.

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

QuantSize
IQ2_XXS7.5 GB
IQ2_XS8.26 GB
IQ2_S8.63 GB
IQ2_M9.35 GB
Q2_K_S9.51 GB
Q2_K10.2 GB
IQ3_XXS10.6 GB
IQ3_XS11.4 GB
Q3_K_S12.0 GB
IQ3_S12.0 GB
IQ3_M12.3 GB
Q3_K_M13.1 GB
Q3_K_L14.1 GB
IQ4_XS14.6 GB
Q4_015.5 GB
Q4_K_S15.5 GB
Q4_K_M16.3 GB
Q4_117.0 GB
Q8_028.7 GB
BF1653.9 GB