Em-dashes removed

README.md

@@ -23,11 +23,11 @@ pipeline_tag: text-classification
 
 The Qwen3Guard-Stream models are specialised versions of the Qwen3 series, designed specifically for real-time safety and moderation tasks rather than general-purpose language generation.
 
-These models incorporate custom architectural components—such as non-standard attention mechanisms, proprietary gating layers, or unique tokenizers—that deviate significantly from the Transformer-based architectures (like LLaMA, Mistral, or Gemma) that the GGUF format and the llama.cpp runtime were explicitly engineered to support. 
+These models incorporate custom architectural components - such as non-standard attention mechanisms, proprietary gating layers, or unique tokenizers - that deviate significantly from the Transformer-based architectures (like LLaMA, Mistral, or Gemma) that the GGUF format and the llama.cpp runtime were explicitly engineered to support. 
 
 Because GGUF is not a universal model serialisation format but rather one tightly coupled to the structural assumptions of models compatible with llama.cpp, models like Qwen3Guard-Stream cannot be directly converted to GGUF, regardless of quantisation level. 
 
-The absence of official support in the llama.cpp codebase for Qwen's architecture - especially its attention variants, rotary embedding scheme, and vocabulary layout — means that **even a successful file conversion would result in runtime errors or incorrect inference behavior.**
+The absence of official support in the llama.cpp codebase for Qwen's architecture - especially its attention variants, rotary embedding scheme, and vocabulary layout - means that **even a successful file conversion would result in runtime errors or incorrect inference behavior.**
 
 **This last point is where I ran into trouble** - I modified llama.cpp to convert the Qwen3Guard-Gen and SafeRL models, but the Stream models will not work.