What are the hardware requirements for MiniCPM5 2B?

MiniCPM5 2B requires approximately 5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniCPM5 2B and how large is it?

MiniCPM5 2B is developed by openbmb, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate MiniCPM5 2B?

MiniCPM5 2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniCPM5 2B by openbmb — VRAM 5GB, 128K context

Name: MiniCPM5 2B
Author: openbmb

MiniCPM5 2B is an open-source language model by openbmb. Features: 2b LLM, VRAM: 5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.57.

Arxiv:2506.07900 Arxiv:2602.09003 Conversational Dataset:openbmb/ultra-fineweb Dataset:openbmb/ultra-fineweb-... Dataset:openbmb/ultradata-code Dataset:openbmb/ultradata-math Dataset:openbmb/ultradata-rl-2... Dataset:openbmb/ultradata-sft-... Dataset:openbmb/ultradata-sft-... Dataset:openbmb/ultrax-preview Edge-ai En Endpoints compatible Llama Long-context Minicpm Minicpm5 On-device Region:us Safetensors Sharded Tensorflow Tool-calling Zh

Model Card on HF 🤗: https://huggingface.co/openbmb/MiniCPM5-2B

MiniCPM5 2B Parameters and Internals

LLM Name	MiniCPM5 2B
Repository 🤗	https://huggingface.co/openbmb/MiniCPM5-2B
Model Size	2b
Required VRAM	5 GB
Updated	2026-09-08
Maintainer	openbmb
Model Type	llama
Model Files	5.0 GB: 0-of-1
Supported Languages	en zh
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.6.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	130560
Torch Data Type	bfloat16

Rank the MiniCPM5 2B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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