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README.md

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 # Model Description
-Mellum-base-4B is JetBrains' first open-source large language model (LLM) optimized for code-related tasks.
+Mellum-4b-base is JetBrains' first open-source large language model (LLM) optimized for code-related tasks.
 
-Trained on over 4 trillion tokens with a context window of 8192 tokens across multiple programming languages, Mellum-base-4B is tailored specifically for code completion. 
-The model follows a LLaMA-style architecture with 4 billion parameters and does not use Grouped Query Attention (GQA), making it efficient for both cloud inference (e.g., via vLLM) and local deployment (e.g., using llama.cpp or Ollama).
+Trained on over 4 trillion tokens with a context window of 8192 tokens across multiple programming languages, Mellum-4b-base is tailored specifically for code completion. 
+The model follows a LLaMA-style architecture with 4 billion parameters, making it efficient for both cloud inference (e.g., via vLLM) and local deployment (e.g., using llama.cpp or Ollama).
 
 Mellum was trained using Automatic Mixed Precision (AMP) with bf16 precision. 
 The uploaded version on Hugging Face retains the bf16 format for public use.