Views
No views yet
| Version | Refusals | Compliance | KL Divergence | Trials |
|---|---|---|---|---|
| v2 (current) | 6.5% | 93.5% | 0.076 | 500 |
| v1 | 29% | 71% | 0.027 | 50 |
mlabonne/harmful_behaviors and mlabonne/harmless_alpacaconvert_hf_to_gguf.pyllama-quantize./llama-cli -m Muse-Glimmer-30B-Heretic-Abliterated-Q6_K.gguf -p "Your prompt here"FROM ./Muse-Glimmer-30B-Heretic-Abliterated-Q6_K.gguf1ollama create muse-glimmer-30b-heretic-q6_k
2ollama run muse-glimmer-30b-heretic-q6_kmmproj).
Abliteration only modified the language backbone — the vision encoder is
untouched — so the standard Meta projector works directly with this repo.mmproj-Muse-Glimmer-30B-Q4_K_M.gguf (~1.4 GB), Meta's official vision encoder1huggingface-cli download mlasli/Muse-Glimmer-30B-Heretic-Abliterated-Q6_K-GGUF \
2 --include "Muse-Glimmer-30B-Heretic-Abliterated-Q6_K.gguf" \
3 --include "mmproj-Muse-Glimmer-30B-Q4_K_M.gguf" \
4 --local-dir ./models
5
6./build/bin/llama-mtmd-cli \
7 -m ./models/Muse-Glimmer-30B-Heretic-Abliterated-Q6_K.gguf \
8 --mmproj ./models/mmproj-Muse-Glimmer-30B-Q4_K_M.gguf \
9 --image photo.png \
10 -p "Describe this image."Ollama note: Ollama does not currently support separatemmprojfiles for this architecture. For image input, use llama.cpp (llama-mtmd-cliorllama-server --mmproj).
mmproj-Muse-Glimmer-30B-Q4_K_M.gguf (~1.4 GB), Meta's official vision encoder + projector,
enabling image input via llama.cpp.meta-models/Muse-Glimmer-30B).