Update README.md

README.md

@@ -11,7 +11,7 @@ Architecture details:
 2. MoE FFNs have GeGLU architecture, with inner/gate dim of 1024. The model's hidden dim is 2048.
 3. Usable context length increased to 32K, with [a custom efficient SuperBPE tokenizer](https://huggingface.co/moondream/starmie-v1)
 4. Multi-headed attention with learned position- and data-dependent temperature scaling
-5. Vision encoder initialized from SigLIP-SO-400M, with multi-crop channel concatenation for token-efficient high resolution image processing
+5. SigLIP-based vision encoder, with multi-crop channel concatenation for token-efficient high resolution image processing
 
 For more details, please refer to our ||coming soon release blog post||. Or try the model out in our [playground demo](https://moondream.ai/c/playground).