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  "path": "/t/best-model-for-local-usage-and-wokring-on-unity-with-mcp-at-12-gb-vram/177118#post_2",
  "publishedAt": "2026-06-24T07:27:21.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "Welcome to the 🤗 Model Context Protocol (MCP) Course · Hugging Face",
    "(click for more details)"
  ],
  "textContent": "Hmm… For now, I think the fastest path is to first get a safe, boring model working end-to-end, then start looking for the model that actually works best for your own setup:\n\n* * *\n\nShort version:\n\n  * I would not start by looking for a special “Unity 6.5 model”.\n  * I would split this into: **model → runtime → coding client → MCP server → Unity bridge → Unity project state**.\n  * On a single 12GB VRAM GPU, especially while Unity Editor is open, I would start with a **small dense coding model** , not a huge MoE model.\n  * If you like CLI, start with **Ollama**.\n  * If you prefer GUI, start with **LM Studio**. It is also becoming interesting as a local MCP/tool-use sandbox.\n  * If you need deeper tool-call/template debugging later, look at **llama.cpp server**.\n  * I would keep **vLLM** as a later/advanced path on Windows.\n  * For a first safe model, I would try **Qwen2.5-Coder-7B-Instruct** or a supported **Qwen3.5-9B** build.\n  * If VRAM is tight while Unity is open, I would also test **Ministral 3 8B/3B** , **LFM2.5-8B-A1B** , or smaller **Gemma** variants.\n  * Before allowing script/scene edits, test read-only Unity MCP actions first.\n  * For MCP itself, the Hugging Face MCP Course is a good overview:\nWelcome to the 🤗 Model Context Protocol (MCP) Course · Hugging Face\n\n\n\nThe first model does not need to be the final best model. It just needs to be good enough to prove that the whole local workflow works.\n\nWhy I would split this into layers (click for more details) Runtime choice: Ollama vs LM Studio vs llama.cpp server vs vLLM (click for more details) Model candidates for 12GB VRAM (click for more details) Common Unity MCP / local-agent traps (click for more details) Unity MCP resources (click for more details) Smoke-test plan (click for more details) Benchmarks and discovery links (click for more details)\n\n## My practical recommendation\n\nIf you want the least painful path:\n\n### First pass\n\nUse:\n\n  * **Ollama** if you like CLI,\n  * **LM Studio** if you prefer GUI,\n  * **Cline or Continue** as the coding client,\n  * **Qwen2.5-Coder-7B-Instruct** as the safe first model.\n\n\n\nGoal: prove that local coding help works.\n\n### Second pass\n\nTry:\n\n  * **Qwen3.5-9B** , but check exact Ollama/LM Studio/llama.cpp support,\n  * **Ministral 3 8B** if you want a small dense fallback,\n  * **LFM2.5-8B-A1B** if you want lightweight tool/structured-output behavior,\n  * **Gemma 3 / 3n / 4** for strong small-model chat/code-review, but test MCP tool parsing carefully.\n\n\n\nGoal: find the model that works best for your real project.\n\n### Third pass\n\nOnly after the basic workflow works:\n\n  * try llama.cpp server for more control,\n  * try 14B/30B/MoE models if you can tolerate offload/slower speed,\n  * tune context length and quant,\n  * add more Unity MCP tools,\n  * create custom tools with narrow schemas.\n\n\n\nGoal: improve quality and speed without breaking reliability.\n\nFinal minimal setup idea:\n\n\n    Ollama or LM Studio\n    + Qwen2.5-Coder-7B or a supported Qwen3.5-9B build\n    + Cline/Continue\n    + Unity MCP\n    + tiny read-only smoke tests first\n\n\nThen compare models after the chain works.\n\nThe main thing is to avoid judging the model before the whole chain is working. For Unity MCP, the best model is not just the one that writes good C#; it is the one that your runtime/client can actually drive through tools safely and reliably.",
  "title": "Best model for local usage and wokring on Unity with MCP at 12 gb VRAM"
}