LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

8,484 stars Python 1 file · ~14,137 tokens #chatgpt #deep-learning #instruction-following #language-model #pretrained-models #pytorch #transformer

LMFlow MCP Server

MCP server for OptimalScale/LMFlow

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "LMFlow": {
      "command": "npx",
      "args": [
        "-y",
        "@OptimalScale/LMFlow"
      ]
    }
  }
}

{
  "mcpServers": {
    "LMFlow": {
      "command": "npx",
      "args": [
        "-y",
        "@OptimalScale/LMFlow"
      ]
    }
  }
}

{
  "mcpServers": {
    "LMFlow": {
      "command": "npx",
      "args": [
        "-y",
        "@OptimalScale/LMFlow"
      ]
    }
  }
}

{
  "mcpServers": {
    "LMFlow": {
      "command": "npx",
      "args": [
        "-y",
        "@OptimalScale/LMFlow"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "LMFlow": {
      "command": "npx",
      "args": [
        "-y",
        "@OptimalScale/LMFlow"
      ]
    }
  }
}

docker run -i --rm mcp/LMFlow