Coding AI Models
Coding models are specifically trained or fine-tuned on source code, making them excellent at code generation, completion, explanation, and debugging. They support multiple programming languages and can handle tasks from simple function writing to complex multi-file refactoring. These models typically offer a strong balance of code quality and inference speed for local development workflows.
Alibaba
Qwen 2.5 Coder 7B
Strong 7B code model rivaling larger coding models. Excellent for local development.
Alibaba
Qwen 2.5 Coder 14B
Powerful 14B code model. Excellent for complex programming tasks.
Alibaba
Qwen 2.5 Coder 1.5B
Compact code model with solid code generation and understanding abilities.
Alibaba
Qwen 2.5 Coder 0.5B
Smallest code model. Default code assistant - runs on any iPhone. Great for code completion and simple programming tasks.
Alibaba
Qwen 2.5 Coder 3B
Capable 3B code model. Good balance of coding ability and resource usage.
BigCode
StarCoder2 3B
Code completion model trained on The Stack v2. 600+ languages.
DeepSeek
DeepSeek Coder 6.7B
Powerful 6.7B code model with excellent code generation across many languages.
DeepSeek
DeepSeek Coder 1.3B
Compact code model with strong coding capabilities. Great for mobile coding assistants.
Meta
Code Llama 7B
Meta's code-specialized Llama model. Good at code completion.
BigCode
StarCoder2 7B
Larger code model with better completions.
CodeGemma 2B
Lightweight code completion model from Google. Fast on-device code suggestions.
01.AI
Yi Coder 9B
Strong 9B code model with good reasoning.
Meta
Code Llama 13B Instruct
13B code model for complex tasks. iPad Pro recommended.
CodeGemma 7B
Google's instruction-tuned code model. Strong code generation and understanding.
Stability AI
Stable Code 3B
Compact code model with good completion quality.
01.AI
Yi Coder 1.5B
Tiny code model. Great for phones. Fast completions.