change llm model

Dockerfile

@@ -100,8 +100,8 @@ EXPOSE 7860
 # Example Mixtral-8x7B-Instruct (known loader incompatibilities on newer llama.cpp + too large for 10GB RAM):
 # CMD ["llama-server", "-hf", "TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF:mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf", "--host", "0.0.0.0", "--port", "7860", "-c", "4096", "-t", "4", "-ngl", "0", "--cont-batching", "-b", "64", "--ubatch-size", "32"]
 #
-# Active: QuantFactory Qwen2.5-Math-7B-Instruct Q4_K_M (math-focused, 8k target)
-CMD ["llama-server", "-hf", "QuantFactory/Qwen2.5-Math-7B-Instruct-GGUF:q4_k_m", "--host", "0.0.0.0", "--port", "7860", "-c", "8192", "-t", "4", "-ngl", "0", "--cont-batching", "-b", "128", "--ubatch-size", "64"]
+# Active: QuantFactory Qwen2.5-7B-Instruct Q4_K_M (8k target)
+CMD ["llama-server", "-hf", "QuantFactory/Qwen2.5-7B-Instruct-GGUF:q4_k_m", "--host", "0.0.0.0", "--port", "7860", "-c", "8192", "-t", "4", "-ngl", "0", "--cont-batching", "-b", "128", "--ubatch-size", "64"]
 #
 # Example Qwen2.5-Coder 7B Instruct (32k context):
 # CMD ["llama-server", "-hf", "Qwen/Qwen2.5-Coder-7B-Instruct-GGUF:Qwen2.5-Coder-7B-Instruct.Q4_K_M.gguf",