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.
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.
npx skills add OpenBMB/MiniCPM --skill minicpm5-deploy-ollamagit clone --depth 1 https://github.com/OpenBMB/MiniCPMWrote 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.
[](https://agentmods.dev/skills/openbmb/minicpm/minicpm5-deploy-ollama)<a href="https://agentmods.dev/skills/openbmb/minicpm/minicpm5-deploy-ollama"><img src="https://agentmods.dev/badge/skills/openbmb/minicpm/minicpm5-deploy-ollama/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.
<a href="https://agentmods.dev/skills/openbmb/minicpm/minicpm5-deploy-ollama"><img src="https://agentmods.dev/badge/skills/openbmb/minicpm/minicpm5-deploy-ollama.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Supply Chain · line 25 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Data Exfiltration · line 69 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.
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 | $0.00069 | $0.01114 |
| Opus 5 | $0.00034 | $0.00557 |
| Sonnet 5 | $0.00014 | $0.00223 |
| Haiku 4.5 | $0.00007 | $0.00111 |
Grade D, and why
minicpm5-deploy-ollama scanned grade D with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl http://localhost:11434/api/generate -d '{ Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://ollama.com/install.sh | sh # Linux Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://ollama.com/install.sh | sh # Linux How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy MiniCPM5-1B and MiniCPM5-2B with Ollama
One-binary, no-Python laptop deployment. Consumes the released GGUF.
Required input
| Var | Example | Default |
|---|---|---|
GGUF_REPO |
openbmb/MiniCPM5-2B-GGUF |
required; openbmb/MiniCPM5-1B-GGUF also works |
QUANT |
Q4_K_M (1.56 GB, recommended) / Q8_0 (2.68 GB) / F16 (5.04 GB) |
Q4_K_M |
MODEL_NAME |
minicpm5-2b |
minicpm5-2b |
Steps
1. Install Ollama (once)
brew install ollama # macOS
# or:
curl -fsSL https://ollama.com/install.sh | sh # Linux
OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama serve &
2. Download the GGUF + write Modelfile
mkdir -p ~/${MODEL_NAME} && cd ~/${MODEL_NAME}
huggingface-cli download ${GGUF_REPO} MiniCPM5-2B-${QUANT}.gguf --local-dir .
cat > Modelfile <<EOF
FROM ./MiniCPM5-2B-${QUANT}.gguf
# MiniCPM5 basic chat template
TEMPLATE """{{- if .Messages -}}
{{- range .Messages -}}
<|im_start|>{{ .Role }}
{{ .Content }}<|im_end|>
{{ end -}}
<|im_start|>assistant
{{ end -}}"""
PARAMETER stop "<|im_end|>"
PARAMETER stop "</s>"
# Defaults tuned for think mode
PARAMETER temperature 1.0
PARAMETER top_p 0.95
PARAMETER num_ctx 8192
EOF
3. Create + run
ollama create ${MODEL_NAME} -f Modelfile
ollama run ${MODEL_NAME}
4. Validate via OpenAI-compatible API
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "minicpm5-2b",
"messages": [{"role": "user", "content": "1+1=?"}],
"temperature": 1.0, "top_p": 0.95, "max_tokens": 64
}'
Expected: "2" in the reply.
MiniCPM5-1B Think vs No-think
A MiniCPM5-1B Modelfile configured with temperature=0.7, top_p=0.95 defaults to no-think. To switch a single conversation to think mode, override the sampling params at request time:
ollama run minicpm5-1b --temperature 0.9 --top-p 0.95
Or bake it into a separate model tag by raising the temperature line (top_p stays 0.95):
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.
- 2d ago Changed · +7 lines · +8 tokens per session 57a58cfc7f32
- 11d ago First seen · 114 lines · 61 tokens per session scan D df863a86f699
minicpm5-deploy-ollama is a skill published in the GitHub repository OpenBMB/MiniCPM (10,780 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 1,114 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it D with 3 findings (sends data to an external url, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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