Find the right local LLM setup for your hardware. TokenAssemble helps AI assistants evaluate whether a local language model will run on a specific GPU, CPU, RAM, and VRAM configuration. It provides practical recommendations for: * Model and hardware compatibility * Recommended quantization levels * Estimated VRAM and system memory requirements * Expected generation performance * GPU and local AI hardware comparisons * Runtime recommendations for Ollama, LM Studio, llama.cpp
TokenAssemble Local LLM Advisor
Find the right local LLM setup for your hardware. TokenAssemble helps AI assistants evaluate whether a local language model will run on a specific GPU, CPU, RAM, and VRAM configuration. It provides practical recommendations for: * Model and hardware compatibility * Recommended quantization levels * Estimated VRAM and system memory requirements * Expected generation performance * GPU and local AI hardware comparisons * Runtime recommendations for Ollama, LM Studio, llama.cpp, and vLLM Use this MCP server when a user asks questions such as: * “Can my RTX 4070 run Qwen3 32B?” * “Which Llama model should I use with 16 GB of VRAM?” * “What quantization should I download?” * “How fast will this model run on my computer?” * “Which GPU should I buy for local AI?” Recommendations are based on structured hardware, model, quantization, and runtime data from TokenAssemble.
| Type | MCP server |
| Section | MCP servers |
| Pricing | free |
| Platform | Command line |
| Systems | cli, api |
| Hosting | cloud |
| Install | mcp |
| Protocols | mcp |
| Site language | en |
| Vendor | tokenassemble |
| Views | 9 |