Qwen
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Qwen2.5-Coder-3B-Instruct-AWQ

@@ -25,7 +25,6 @@ Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (
 - Significantly improvements in **code generation**, **code reasoning** and **code fixing**. Base on the strong Qwen2.5, we scale up the training tokens into 5.5 trillion including source code, text-code grounding, Synthetic data, etc. Qwen2.5-Coder-32B has become the current state-of-the-art open-source codeLLM, with its coding abilities matching those of GPT-4o.
 - A more comprehensive foundation for real-world applications such as **Code Agents**. Not only enhancing coding capabilities but also maintaining its strengths in mathematics and general competencies.
-- **Long-context Support** up to 128K tokens.
 **This repo contains the AWQ-quantized 4-bit instruction-tuned 3B Qwen2.5-Coder model**, which has the following features:
 - Type: Causal Language Models

 - Significantly improvements in **code generation**, **code reasoning** and **code fixing**. Base on the strong Qwen2.5, we scale up the training tokens into 5.5 trillion including source code, text-code grounding, Synthetic data, etc. Qwen2.5-Coder-32B has become the current state-of-the-art open-source codeLLM, with its coding abilities matching those of GPT-4o.
 - A more comprehensive foundation for real-world applications such as **Code Agents**. Not only enhancing coding capabilities but also maintaining its strengths in mathematics and general competencies.
 **This repo contains the AWQ-quantized 4-bit instruction-tuned 3B Qwen2.5-Coder model**, which has the following features:
 - Type: Causal Language Models