MiniCPM5 2B GPTQ
MiniCPM5 2B GPTQ is a GPTQ-quantized text-generation model from OpenBMB, released under the Apache 2.0 license. It is described as a dense 2B Transformer intended for on-device, local deployment, and resource-constrained scenarios, and is the second model in the MiniCPM5 series following MiniCPM5-1B. The official model card states it reaches 2B-class open-source SOTA within its comparison set and remains competitive with 4B-class models overall, with reported advantages over comparable-size models in coding, mathematics, long-context understanding, tool use, and agentic tasks. Supported languages listed in the card are English and Chinese. Training data listed includes Ultra-FineWeb, UltraX-Preview, Ultra-FineWeb-L3, UltraData-Math, UltraData-Code, UltraData-SFT-2605, UltraData-SFT-Agent-2609, and UltraData-RL-2609.
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Chat locally with MiniCPM5 · 2B
Run the official MiniCPM5 2B GGUF on Windows, Mac, or Linux with Ollama for a simple private chat. An advanced GPTQ/vLLM route is available for Linux NVIDIA, plus a separately labelled community uncensored MLX package for Apple Silicon.
MiniCPM5 2B local coding assistant metadata plan
Metadata-only plan for a local coding assistant using MiniCPM5 2B GPTQ AWQ 4-bit, with portable GGUF and Apple Silicon MLX alternatives. Selects source-backed packages and supported platform routes.
Open a guide for its software, hardware requirements, and setup steps.
At a glance
- Parameters
- 2.52B
- Architecture
- llama
- Context length
- 131,072
- License
- apache-2.0
- Disk space
- 2 GB
- Software
- llama.cpp, SGLang, vLLM
Will it run on your machine?
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Add my hardwareBest for
- On-device text generation
- Local deployment in resource-constrained scenarios
- Coding-related tasks
- Mathematics-related tasks
- Long-context understanding and tool use or agentic tasks
Tradeoffs
- Facts are limited to the supplied model card and metadata; compatibility with specific hardware or software is not stated.
- No tested performance benchmarks, latency, memory, or other numerical hardware requirements are provided.
- The model is GPTQ-quantized, but no license terms beyond apache-2.0 or quantization-specific limitations are given.
- Language coverage is listed only as en and zh; other languages are not stated.
- No claims of testing or purchase recommendations are made based on the supplied data.
Ways to run it
llama.cpp · Windows, macOS, Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
llama-server -m MiniCPM5-2B-F16.gguf -a MiniCPM5-2B --port 8080 -ngl 99 -c 8192 --jinjaSGLang · Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
python -m sglang.launch_server --model-path openbmb/MiniCPM5-2B --port 30000vLLM · Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
vllm serve openbmb/MiniCPM5-2B --port 8000Explore its uses
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