What is minicpm5-deploy?

A routing skill for deploying, serving, chatting with, or benchmarking the MiniCPM5-1B language model. It asks for the model checkpoint, hardware, and goal, then selects a suitable inference backend such as Transformers, vLLM, or a format-specific runner.

Use it when you want to run MiniCPM5 but have not chosen an engine, or when you need help matching a Hugging Face, GGUF, or MLX checkpoint to your hardware and use case.

Different hardware and model formats require different ways to run the model. This routes the task to the matching setup instead of using an unsuitable backend.

minicpm5-deploy — Skill for Claude Code and Codex by OpenBMB/MiniCPM

About the project

MiniCPM is a family of compact language models, including MiniCPM5-1B, designed to run locally on devices with limited resources. Developers use it for on-device assistants, reasoning, code, tool use, deployment, and fine-tuning, while the repository also includes a desktop-pet example. The catalogue entries support deployment and fine-tuning workflows for the models.

OpenBMB/MiniCPM · 11,811 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add OpenBMB/MiniCPM --skill minicpm5-deploy

Clone the repo

git clone --depth 1 https://github.com/OpenBMB/MiniCPM

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/openbmb/minicpm/minicpm5-deploy/github.svg)](https://agentmods.dev/skills/openbmb/minicpm/minicpm5-deploy)

Your own site

<a href="https://agentmods.dev/skills/openbmb/minicpm/minicpm5-deploy"><img src="https://agentmods.dev/badge/skills/openbmb/minicpm/minicpm5-deploy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/openbmb/minicpm/minicpm5-deploy"><img src="https://agentmods.dev/badge/skills/openbmb/minicpm/minicpm5-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,126 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Data Exfiltration · line 59
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00109	$0.02126
Opus 5.5	$0.00044	$0.00850
Sonnet 5.5	$0.00022	$0.00425
Haiku 4.5	$0.00011	$0.00213

Measured 1mo ago against content hash bee5e9095ab0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

minicpm5-deploy scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:PORT/v1/chat/completions \

skills/minicpm5-deploy/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deploy MiniCPM5-1B and MiniCPM5-2B — backend router

You're being asked to deploy / serve / chat-with a MiniCPM5-1B or MiniCPM5-2B checkpoint. Your job is to pick exactly one backend skill below based on the user's hardware, format, and goal, then invoke that skill rather than improvising.

1. Required input from the user

Before picking a backend, you MUST know:

Variable	Example	Where to ask
`MODEL_PATH`	HF id `openbmb/MiniCPM5-2B` or `openbmb/MiniCPM5-1B` or a local path	"Which checkpoint? HF id or local path?"
Hardware	NVIDIA GPU / Apple Silicon / CPU only	infer from context, otherwise ask
Goal	"interactive chat" / "OpenAI server" / "Python script" / "benchmark"	infer from context

Available checkpoints on Hugging Face

Variant	HF repo	Use with
HF fp16 (recommended)	`openbmb/MiniCPM5-2B` or `openbmb/MiniCPM5-1B`	`transformers` / `vllm` (no `--quantization`) / `vllm-ascend` / `sglang` / any `minicpm5-finetune-*`
GGUF F16 / Q8_0 / Q4_K_M	`openbmb/MiniCPM5-2B-GGUF` or `openbmb/MiniCPM5-1B-GGUF`	`minicpm5-deploy-llama-cpp` / `-ollama` / `-lmstudio`
MLX (Apple Silicon)	`openbmb/MiniCPM5-2B-MLX` or `openbmb/MiniCPM5-1B-MLX`	`minicpm5-deploy-mlx`
LiteRT-LM `.litertlm` (Android / iOS / desktop / IoT, CPU + GPU)	`litert-community/MiniCPM5-2B` or `litert-community/MiniCPM5-1B`	`minicpm5-deploy-litert`

If the user has a local copy, accept any directory path that contains config.json and model.safetensors (or the equivalent GGUF / MLX layout).

Read the full file on GitHub · 89 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago Changed · +5 lines bee5e9095ab0
1mo ago Changed · +8 tokens per session e62fe9710eba
2mo ago First seen · 84 lines · 101 tokens per session scan A 111532fae204

Subscribe to this mod's changes

minicpm5-deploy is a skill published in the GitHub repository OpenBMB/MiniCPM (11,811 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 109 tokens to every session and 2,126 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI

minicpm5-deploy next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
minicpm5-deployOpenBMB/MiniCPM	Skill	12k	1mo ago	Apache-2.0	A	109	Claude Code, Codex
agent-platform-model-registrygoogle/skills	Skill	22k	yesterday	Apache-2.0	A	60	Claude Code, Codex
foundry-config-setupmicrosoft/agent-framework	Skill	15k	yesterday	MIT	A	65	Claude Code, Codex
google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skills	Skill	22k	yesterday	Apache-2.0	A	132	Claude Code, Codex
training-checkwanshuiyin/Auto-claude-code-research-in-sleep	Skill	19k	3d ago	MIT	A	35	Claude Code
nemo-automodel-launcher-configNVIDIA/skills	Skill	3.9k	yesterday	Apache-2.0	A	30	Claude Code
finetuningmicrosoft/skills	Skill	3.2k	yesterday	MIT	A	132	Claude Code

minicpm5-deploy