minicpm5-deploy-ollama
Run MiniCPM5-1B via Ollama on macOS / Linux laptop using the released GGUF. Use when the user wants "ollama run", "ollama pull", a Modelfile-driven setup, or one-line laptop deployment.
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=openbmb-minicpm-skills-minicpm5-deploy-ollama-skill-md&format=skill
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name minicpm5-deploy-ollama description Run MiniCPM5-1B via Ollama on macOS / Linux laptop using the released GGUF. Use when the user wants "ollama run", "ollama pull", a Modelfile-driven setup, or one-line laptop deployment. Deploy MiniCPM5-1B with Ollama One-binary, no-Python laptop deployment. Consumes the released GGUF. Required input Var Example Default GGUF_REPO openbmb/MiniCPM5-1B-GGUF required QUANT Q4_K_M (657 MB, recommended) / Q8_0 / F16 Q4_K_M MODEL_NAME minicpm5-1b minicpm5-1b 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} MiniCPM5-1B- ${QUANT} .gguf --local-dir . cat > Modelfile << EOF FROM ./MiniCPM5-1B-${QUANT}.gguf # MiniCPM5 chat template (matches release tokenizer) 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 nothink mode PARAMETER temperature 0.7 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": "minicpm5-1b", "messages": [{"role": "user", "content": "1+1=?"}], "temperature": 0.7, "top_p": 0.95, "max_tokens": 64 }' Expected: "2" in the reply. Think mode Default Modelfile is nothink. For think: ollama run ${MODEL_NAME} --temperature 0.9 --top-p 0.95 Or bake it into a separate model tag by flipping temperature 0.7 to temperature 0.9 (top_p stays 0.95) and ollama create ${MODEL_NAME}-think -f Modelfile.think . To force the auto-injected <think>\n prefix, use raw mode: curl http://localhost:11434/api/generate -d '{ "model": "minicpm5-1b", "raw": true, "prompt": "<|im_start|>user\n鸡兔同笼…<|im_end|>\n<|im_start|>assistant\n<think>\n", "options": {"temperature": 0.9, "top_p": 0.95} }' Common pitfalls Error: invalid file magic : corrupted download. Re-run huggingface-cli download . When NOT to use Highest throughput on Mac → minicpm5-deploy-mlx (Q4 build) GUI experience → minicpm5-deploy-lmstudio NVIDIA GPU production → minicpm5-deploy-vllm Reference docs/deployment/ollama.md
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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