Qwen2.5-Coder is the latest series of code-specific large language models from Alibaba Cloud, available in six model sizes ranging from 0.5 to 32 billion parameters. This 7B instruction-tuned variant features significant improvements in code generation, code reasoning, and code fixing, built on the strong foundation of Qwen2.5 with 5.5 trillion training tokens including source code, text-code grounding, and synthetic data. The model supports long-context inputs up to 128K tokens and maintains strong capabilities not only in coding but also in mathematics and general competencies, making it suitable for real-world applications such as code agents. With performance matching GPT-4o on coding tasks, Qwen2.5-Coder-32B has become a state-of-the-art open-source code language model.
Alibaba
available local models on Mirai:
available local models on Mirai:
Name
Quantisation
Size
Qwen2.5-Coder-0.5B-Instruct
No
0.5B
Quant.
No
Size
0.5B
Qwen2.5-Coder-1.5B-Instruct
No
1.5B
Quant.
No
Size
1.5B
Qwen2.5-Coder-14B-Instruct
No
14B
Quant.
No
Size
14B
Qwen2.5-Coder-32B-Instruct
No
32B
Quant.
No
Size
32B
Qwen2.5-Coder-3B-Instruct
No
3B
Quant.
No
Size
3B
Qwen2.5-Coder-7B-Instruct
No
7B
Quant.
No
Size
7B
Qwen3-0.6B
No
0.6B
Quant.
No
Size
0.6B
Qwen3-0.6B-MLX-4bit
No
0.6B
Quant.
No
Size
0.6B
Qwen3-0.6B-MLX-8bit
No
0.6B
Quant.
No
Size
0.6B
Qwen3-1.7B
No
1.7B
Quant.
No
Size
1.7B
Qwen3-1.7B-MLX-4bit
No
1.7B
Quant.
No
Size
1.7B
Qwen3-1.7B-MLX-8bit
No
1.7B
Quant.
No
Size
1.7B
Qwen3-14B
No
14B
Quant.
No
Size
14B
Qwen3-14B-AWQ
No
14B
Quant.
No
Size
14B
Qwen3-14B-MLX-4bit
No
14B
Quant.
No
Size
14B
Qwen3-14B-MLX-8bit
No
14B
Quant.
No
Size
14B
Qwen3-32B
No
32B
Quant.
No
Size
32B
Qwen3-32B-AWQ
No
32B
Quant.
No
Size
32B
Qwen3-32B-MLX-4bit
No
32B
Quant.
No
Size
32B
Qwen3-4B
No
4B
Quant.
No
Size
4B
Qwen2.5-Coder is the latest series of code-specific large language models from Alibaba Cloud, available in six model sizes ranging from 0.5 to 32 billion parameters. This 7B instruction-tuned variant features significant improvements in code generation, code reasoning, and code fixing, built on the strong foundation of Qwen2.5 with 5.5 trillion training tokens including source code, text-code grounding, and synthetic data. The model supports long-context inputs up to 128K tokens and maintains strong capabilities not only in coding but also in mathematics and general competencies, making it suitable for real-world applications such as code agents. With performance matching GPT-4o on coding tasks, Qwen2.5-Coder-32B has become a state-of-the-art open-source code language model.
Alibaba
available local models on Mirai:
Name
Quantisation
Size
Qwen2.5-Coder-0.5B-Instruct
No
0.5B
Quant.
No
Size
0.5B
Qwen2.5-Coder-1.5B-Instruct
No
1.5B
Quant.
No
Size
1.5B
Qwen2.5-Coder-14B-Instruct
No
14B
Quant.
No
Size
14B
Qwen2.5-Coder-32B-Instruct
No
32B
Quant.
No
Size
32B
Qwen2.5-Coder-3B-Instruct
No
3B
Quant.
No
Size
3B
Qwen2.5-Coder-7B-Instruct
No
7B
Quant.
No
Size
7B
Qwen3-0.6B
No
0.6B
Quant.
No
Size
0.6B
Qwen3-0.6B-MLX-4bit
No
0.6B
Quant.
No
Size
0.6B
Qwen3-0.6B-MLX-8bit
No
0.6B
Quant.
No
Size
0.6B
Qwen3-1.7B
No
1.7B
Quant.
No
Size
1.7B
Qwen3-1.7B-MLX-4bit
No
1.7B
Quant.
No
Size
1.7B
Qwen3-1.7B-MLX-8bit
No
1.7B
Quant.
No
Size
1.7B
Qwen3-14B
No
14B
Quant.
No
Size
14B
Qwen3-14B-AWQ
No
14B
Quant.
No
Size
14B
Qwen3-14B-MLX-4bit
No
14B
Quant.
No
Size
14B
Qwen3-14B-MLX-8bit
No
14B
Quant.
No
Size
14B
Qwen3-32B
No
32B
Quant.
No
Size
32B
Qwen3-32B-AWQ
No
32B
Quant.
No
Size
32B
Qwen3-32B-MLX-4bit
No
32B
Quant.
No
Size
32B
Qwen3-4B
No
4B
Quant.
No
Size
4B