docs: document vision (mmproj) usage + changelog

README.md

@@ -72,6 +72,45 @@ ollama run muse-glimmer-30b-heretic-q6_k
 - **RAM**: ~22 GB, very good quality
 - **VRAM offloading**: 12-24 GB recommended
 
+## Vision (Multimodal)
+
+This model accepts image input when paired with a vision projector (`mmproj`).
+Abliteration only modified the language backbone — the vision encoder is
+untouched — so the standard Meta projector works directly with this repo.
+
+This repository bundles `mmproj-Muse-Glimmer-30B-Q4_K_M.gguf` (~1.4 GB), Meta's official vision encoder
++ projector for Muse Glimmer 30B.
+
+### Usage (llama.cpp)
+
+```bash
+huggingface-cli download mlasli/Muse-Glimmer-30B-Heretic-Abliterated-Q6_K-GGUF \
+  --include "Muse-Glimmer-30B-Heretic-Abliterated-Q6_K.gguf" \
+  --include "mmproj-Muse-Glimmer-30B-Q4_K_M.gguf" \
+  --local-dir ./models
+
+./build/bin/llama-mtmd-cli \
+  -m ./models/Muse-Glimmer-30B-Heretic-Abliterated-Q6_K.gguf \
+  --mmproj ./models/mmproj-Muse-Glimmer-30B-Q4_K_M.gguf \
+  --image photo.png \
+  -p "Describe this image."
+```
+
+> **Ollama note**: Ollama does not currently support separate `mmproj` files
+> for this architecture. For image input, use llama.cpp (`llama-mtmd-cli` or
+> `llama-server --mmproj`).
+
 ## License
 
 Apache 2.0 (same as base model)
+
+## Changelog
+
+### v1.1.0 — vision (multimodal) support (2026-08-16)
+
+- Added `mmproj-Muse-Glimmer-30B-Q4_K_M.gguf` (~1.4 GB), Meta's official vision encoder + projector,
+  enabling image input via llama.cpp.
+- The vision tower is untouched by abliteration, so this projector matches the
+  base model (`meta-models/Muse-Glimmer-30B`).
+- v1.0.0 was the initial (unversioned) text-only upload.
+