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-sglanggit 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-sglang)<a href="https://agentmods.dev/skills/openbmb/minicpm/minicpm5-deploy-sglang"><img src="https://agentmods.dev/badge/skills/openbmb/minicpm/minicpm5-deploy-sglang/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-sglang"><img src="https://agentmods.dev/badge/skills/openbmb/minicpm/minicpm5-deploy-sglang.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 YARA Match · line 120 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- medium Data Exfiltration · line 63 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 | $0.00096 | $0.01554 |
| Opus 5 | $0.00048 | $0.00777 |
| Sonnet 5 | $0.00019 | $0.00311 |
| Haiku 4.5 | $0.00010 | $0.00155 |
Grade A, and why
minicpm5-deploy-sglang scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:${PORT}/v1/chat/completions \ How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy MiniCPM5-1B and MiniCPM5-2B with SGLang
OpenAI-compatible server with RadixAttention prefix cache. Best fit for tool calling, batched eval pipelines, and high-concurrency serving.
Required input
| Var | Example | Default |
|---|---|---|
MODEL_PATH |
openbmb/MiniCPM5-2B or openbmb/MiniCPM5-1B |
required; |
PORT |
30000 |
30000 |
GPU_ID |
0 |
0 |
CTX_LEN |
131072 (128 K) |
131072 |
MEM_FRAC |
0.85 |
0.85 |
TOOL_PARSER |
minicpm5 |
minicpm5; use auto if you want template detection |
Steps
1. Install (once)
pip install "sglang[srt]>=0.5.16" # latest, requires CUDA 13.x driver
# pip install "sglang==0.5.6.post3" # fallback for CUDA 12.x driver hosts
For tool calling, install from main — the minicpm5 parser (PR #25600, merged 2026-05-22) is not in any pip release yet (v0.5.12.post1 was branched earlier). Plain chat works on the pip release; only --tool-call-parser minicpm5 needs main:
pip install "git+https://github.com/sgl-project/sglang.git@main#subdirectory=python"
2. Recommended runtime env vars
export VLLM_WORKER_MULTIPROC_METHOD=spawn
export SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1
export SGLANG_DISABLE_CUDNN_CHECK=1
3. Launch
CUDA_VISIBLE_DEVICES=${GPU_ID} python -m sglang.launch_server \
--model-path "${MODEL_PATH}" \
--served-model-name MiniCPM5-2B \
--dtype bfloat16 \
--context-length ${CTX_LEN} \
--mem-fraction-static ${MEM_FRAC} \
--tool-call-parser ${TOOL_PARSER} \
--host 0.0.0.0 \
--port ${PORT}
Wait for The server is fired up and ready to roll! .
Speculative decoding (DSpark): we also release MiniCPM5-2B-DSpark, a DSpark draft model trained for MiniCPM5-2B. Enable it in SGLang to accelerate decoding while keeping the target model's outputs unchanged:
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 · +17 lines · +8 tokens per session 19950c893641
- 10d ago First seen · 131 lines · 88 tokens per session scan A de78e5d65c5e
minicpm5-deploy-sglang is a skill published in the GitHub repository OpenBMB/MiniCPM (10,673 stars, last pushed 2d ago), licensed Apache-2.0. It adds 96 tokens to every session and 1,554 once invoked, about $0.0005 per session on Opus 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.
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