README: add mmproj (vision) section + disclaimer + with/without-vision usage

README.md

@@ -95,11 +95,54 @@ ollama run  hf.co/evalengine/unbound-e2b-GGUF
 ./llama-cli -m unbound-e2b-Q4_K_M-00001-of-00003.gguf -p "your prompt"
 ```
 
+## Vision / image input (optional)
+
+Gemma 4 E2B ships a vision tower; we extracted it as `mmproj-unbound-e2b.gguf`
+(942 MB) in this repo. Pair it with any of the LM quants above to enable
+image-to-text inference.
+
+> **Disclaimer.** The vision encoder is **Google's original weights, unchanged**.
+> Unbound's abliteration + SFT-heal only touched the *language model* — the
+> vision tower was frozen during training. Practical consequences:
+>
+> - The LM is uncensored, so it will discuss whatever it *sees* directly.
+> - But the vision encoder still has Google's original alignment baked into
+>   visual feature extraction. It may down-weight or distort features for
+>   content classes Google's base model was tuned to suppress.
+> - We have **not benchmarked the visual axis** (no measured refusal rate /
+>   coherence / hallucination on image inputs). Treat vision as a preview
+>   feature, not a flagship one.
+
+### Run with vision (llama.cpp `llama-mtmd-cli`)
+
+```bash
+./llama-mtmd-cli \
+  -m   unbound-e2b-Q4_K_M-00001-of-00003.gguf \
+  --mmproj mmproj-unbound-e2b.gguf \
+  --image path/to/your/image.png \
+  -p "What is in this image?"
+```
+
+`llama-gemma3-cli` works the same way and is Gemma-specific.
+
+### Run text-only (no `--mmproj`)
+
+```bash
+./llama-cli -m unbound-e2b-Q4_K_M-00001-of-00003.gguf -p "your prompt"
+```
+
+The LM quants work standalone — you do **not** need `mmproj-unbound-e2b.gguf`
+unless you want image input. Ollama / LM Studio's standard text chat works
+out of the box; the mmproj file is only loaded when you point a multimodal
+runtime at it.
+
 ## Run in the browser (wllama)
 
 [wllama](https://github.com/ngxson/wllama) is a WebAssembly port of llama.cpp
 that runs entirely in the browser — no server, no install. Use Q2_K, Q3_K_M,
-Q4_K_M, or Q6_K (Q8_0 has a tensor above the 2 GB ArrayBuffer limit):
+Q4_K_M, or Q6_K (Q8_0 has a tensor above the 2 GB ArrayBuffer limit).
+Browser inference is **text-only** for this model (wllama doesn't currently
+load `mmproj` for vision):
 
 ```js
 import { Wllama } from '@wllama/wllama';