Update README.md

README.md

@@ -10,7 +10,7 @@ The current release supports:
 - Pre-computed AWQ model zoo for LLMs (LLaMA, OPT, Vicuna, LLaVA; load to generate quantized weights).
 - Memory-efficient 4-bit Linear in PyTorch.
 - Efficient CUDA kernel implementation for fast inference (support context and decoding stage).
-- Examples on 4-bit inference of an instruction-tuned model (Vicuna) and mult-modal LM (LLaVA).
+- Examples on 4-bit inference of an instruction-tuned model (Vicuna) and multi-modal LM (LLaVA).
 
 ## Contents