Update README.md

README.md

@@ -23,7 +23,7 @@ tags:
 
 TinyMemoryLM is an ultra-lightweight language model optimized for edge cases and architectural experimentation. Despite its small footprint, it incorporates several novel training innovations aimed at stabilizing tiny model convergence, including hybrid tokenization, loss boosting strategies, and context-aware relevance modeling.
 
-This release includes both **Pretrained Weights** (base language modeling) and **Instruction Weights** (fine-tuned for chat/completion).
+This release includes both **Pretrained Weights** (base language modeling, completion) and **Instruction Weights** (fine-tuned for chat).
 
 ## Files Provided