Multiple deployment solutions for efficient MiniCPM-o model deployment across different environments.
📖 中文版本 | Back to Main
| Framework | Performance | Ease of Use | Scalability | Hardware | Best For |
|---|---|---|---|---|---|
| vLLM | High | Medium | High | GPU | Large-scale production services |
| SGLang | High | Medium | High | GPU | Structured generation tasks |
| Ollama | Medium | Excellent | Medium | CPU/GPU | Personal use, rapid prototyping |
| Llama.cpp | Medium | High | Medium | CPU | Edge devices, lightweight deployment |
vLLM (Very Large Language Model)
- High-throughput inference engine with PagedAttention memory management
- Dynamic batching support, OpenAI-compatible API
- Ideal for production API services and large-scale batch inference
- Recommended hardware: GPU with more than 18GB of VRAM
SGLang (Structured Generation Language)
- Structured generation optimization with efficient KV cache management
- Complex control flow and function calling optimization support
- Suitable for complex reasoning chains and structured text generation
- Recommended hardware: GPU with more than 18GB of VRAM
- One-click model management with simple command-line interface
- Automatic quantization support, REST API interface
- Perfect for personal development environments and research prototyping
- Hardware requirements: 8GB+ RAM, supports CPU/GPU
- Pure C++ implementation with CPU-optimized inference
- Multiple quantization support, lightweight deployment
- Ideal for mobile devices and edge computing
- Hardware requirements: 4GB+ RAM, various CPU architectures
- Production Environment (High Concurrency): vLLM - Best performance, optimal scalability
- Complex Reasoning Tasks: SGLang - Structured generation, function calling optimization
- Personal Development: Ollama - Simple to use, quick setup
- Edge Deployment: Llama.cpp - Lightweight, low power consumption
| Category | Framework | Cookbook Link | Upstream PR | Supported since(branch) | Supported since(release) |
|---|---|---|---|---|---|
| Edge(On-device) | Llama.cpp | Llama.cpp Doc | #15575(2025-08-26) | master(2025-08-26) | b6282 |
| Ollama | Ollama Doc | #12078(2025-08-26) | Merging | Waiting for official release | |
| Serving(Cloud) | vLLM | vLLM Doc | #23586(2025-08-26) | main(2025-08-27) | v0.10.2 |
| SGLang | SGLang Doc | #9610(2025-08-26) | Merging | Waiting for official release | |
| Finetuning | LLaMA-Factory | LLaMA-Factory Doc | #9022(2025-08-26) | main(2025-08-26) | Waiting for official release |
| Quantization | GGUF | GGUF Doc | — | — | — |
| BNB | BNB Doc | — | — | — | |
| AWQ | AWQ Doc | — | — | — | |
| Demos | Gradio Demo | Gradio Demo Doc | — | — | — |