{
  "_comment": "Base model metadata (without quantization-specific data)",
  "qwen2.5-coder": {
    "name": "Qwen 2.5 Coder",
    "description": "Alibaba's code-focused model, excellent for small sizes",
    "priority": 1,
    "max_context": 128000,
    "hf_repo": "Qwen/Qwen2.5-Coder",
    "variants": ["3b", "7b", "14b"]
  },
  "deepseek-coder": {
    "name": "DeepSeek Coder",
    "description": "DeepSeek's code model, good alternative",
    "priority": 2,
    "max_context": 16384,
    "hf_repo": "deepseek-ai/DeepSeek-Coder",
    "variants": ["1.3b", "6.7b"]
  },
  "deepseek-coder-v2-lite": {
    "name": "DeepSeek Coder V2 Lite",
    "description": "DeepSeek's V2 Lite model with better MLX support",
    "priority": 2,
    "max_context": 16384,
    "hf_repo": "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct",
    "variants": ["instruct"]
  },
  "codellama": {
    "name": "CodeLlama",
    "description": "Meta's code model",
    "priority": 3,
    "max_context": 16384,
    "hf_repo": "codellama/CodeLlama",
    "variants": ["7b", "13b"]
  },
  "llama-3.2": {
    "name": "Llama 3.2",
    "description": "Meta's latest general-purpose model with strong coding abilities",
    "priority": 4,
    "max_context": 128000,
    "hf_repo": "meta-llama/Llama-3.2",
    "variants": ["1b", "3b"]
  },
  "phi-4": {
    "name": "Phi-4",
    "description": "Microsoft's efficient small model with excellent coding performance",
    "priority": 5,
    "max_context": 16384,
    "hf_repo": "microsoft/Phi-4",
    "variants": ["4b"]
  },
  "gemma-2": {
    "name": "Gemma 2",
    "description": "Google's open model, good for coding tasks",
    "priority": 6,
    "max_context": 8192,
    "hf_repo": "google/gemma-2",
    "variants": ["2b", "4b", "9b"]
  },
  "starcoder2": {
    "name": "StarCoder2",
    "description": "BigCode's open code generation model",
    "priority": 7,
    "max_context": 8192,
    "hf_repo": "bigcode/starcoder2",
    "variants": ["3b", "7b", "15b"]
  }
}