What models does Inferbench support?
Inferbench supports text models via llama.cpp and image models via Stable Diffusion, with a catalog of 124 models.
@JoniMartin27
基本信息
InferBench's MCP server lets coding agents run, serve and benchmark local LLMs (text + image, llama.cpp + Stable Diffusion) on your own hardware on demand. Measures real tokens/sec, picks the optimal quant for your GPU, and exposes a 124-model catalog. Local-first, no cloud requi
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"inferbench": {
"command": "C:\\Users\\<user>\\AppData\\Local\\Programs\\InferBench\\resources\\sidecar\\inferbench-backend.exe",
"args": [
"--mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Inferbench is an MCP server that lets coding agents run, serve, and benchmark local LLMs (text + image, via llama.cpp and Stable Diffusion) on your own hardware. It measures real tokens/second, picks the optimal quantization for your GPU, and exposes a 124-model catalog.
—
Inferbench supports text models via llama.cpp and image models via Stable Diffusion, with a catalog of 124 models.
Inferbench is local-first and requires no cloud.
It measures real tokens per second throughput.
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