Qwen 2.5 Coder 32B Instruct is an LLM designed for code generation, reasoning, and fixing. It excels in coding tasks, making it a powerful tool for developers. The model is based on a transformer architecture with advanced techniques like RoPE and SwiGLU. | Metric | Value | |--------------------|--------------------| | Parameter Count | 32.5 billion | | Mixture of Experts | No | | Context Length | 128,000 tokens | | Multilingual | Unknown | | Quantized* | Unknown | *Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.