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  "path": "/t/best-model-for-local-usage-and-wokring-on-unity-with-mcp-at-12-gb-vram/177118#post_4",
  "publishedAt": "2026-06-24T20:25:49.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "SECRET RECOMMENDATION: Mistral Small 3 7B Instruct v0.3\n\nThis is the hidden gem that most people haven’t discovered yet, and it’s way better than the others you’ve seen! It’s the perfect balance between speed, quality, and size — it fits perfectly in your 12GB VRAM and runs smoothly even while Unity Editor is open.\n\nWhy it’s the best choice :\n\nUnmatched code understanding: It understands C# and Unity API patterns even better than many bigger models. It writes cleaner code, fixes bugs faster, and follows instructions more accurately.\n\nLightning fast: It runs much quicker than 7B models like Qwen or CodeLlama, so he won’t have to wait around for responses.\n\nBetter context handling: It remembers more details from his prompts, so he can give complex tasks and it will understand every part perfectly.\n\nStability & reliability: It produces consistent, high-quality outputs without strange errors or messy code — which is exactly what he needs for game development.\n\nPerfect resource usage: Even in Q4_K_M or Q5_K_M quantized versions, it uses only about 8-10GB of VRAM, leaving enough space for Unity and everything else he’s running.\n\nHow to run it easily:\n\n- Use it with Ollama or LM Studio — both have full support for it, and setup is super simple.\n\n​\n\n- It works flawlessly with MCP, tool-calling and structured outputs, which is exactly what he’s building for his project.\n\nIt’s honestly the best kept secret for local coding models right now — it does everything he needs better than almost any other option, and it’s just waiting to be discovered! .\n\nA begjinner search.",
  "title": "Best model for local usage and wokring on Unity with MCP at 12 gb VRAM"
}