# MiniMind Docker

> Use this tool when you need to deploy and manage lightweight language models like MiniMind, and require features such as chat completion, multi-turn conversations, and model training capabilities. It solves problems related to language model deployment, management, and training, and provides inputs such as model configurations and outputs like conversation responses. Ideal for researchers and developers working with language models, it offers a comprehensive interface for model management and interaction.

Canonical page: https://skillsregistry.net/skills/neosun100-minimind-docker  
JSON: https://api.skillsregistry.net/v1/skills/neosun100-minimind-docker

## Description

MiniMind Docker provides an all-in-one containerized deployment solution for the MiniMind language model. The MCP server exposes tools for chat completion, multi-turn conversations, GPU status monitoring, model information retrieval, and resource management. The broader package includes comprehensive training capabilities spanning pretraining, supervised fine-tuning, LoRA adaptation, and advanced techniques like DPO, PPO, and GRPO, along with OpenAI-compatible API endpoints and web interfaces for researchers and developers working with lightweight language models.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/neosun100-minimind-docker)
- **Repository:** <https://github.com/neosun100/minimind-docker>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "neosun100-minimind-docker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neosun100-minimind-docker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neosun100-minimind-docker/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt