MiniCPM-2B VS MiniCPM-Llama3-V 2.5

Let’s have a side-by-side comparison of MiniCPM-2B vs MiniCPM-Llama3-V 2.5 to find out which one is better. This software comparison between MiniCPM-2B and MiniCPM-Llama3-V 2.5 is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether MiniCPM-2B or MiniCPM-Llama3-V 2.5 fits your business.

MiniCPM-2B

MiniCPM-2B
MiniCPM is an End-Side LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings (2.7B in total).

MiniCPM-Llama3-V 2.5

MiniCPM-Llama3-V 2.5
With a total of 8B parameters, the model surpasses proprietary models such as GPT-4V-1106, Gemini Pro, Qwen-VL-Max and Claude 3 in overall performance.

MiniCPM-2B

Launched
Pricing Model Free
Starting Price
Tech used
Tag Language Learning

MiniCPM-Llama3-V 2.5

Launched
Pricing Model Free
Starting Price
Tech used
Tag Language Learning,Mlops

MiniCPM-2B Rank/Visit

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MiniCPM-Llama3-V 2.5 Rank/Visit

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Estimated traffic data from Similarweb

What are some alternatives?

When comparing MiniCPM-2B and MiniCPM-Llama3-V 2.5, you can also consider the following products

MiniCPM3-4B - MiniCPM3-4B is the 3rd generation of MiniCPM series. The overall performance of MiniCPM3-4B surpasses Phi-3.5-mini-Instruct and GPT-3.5-Turbo-0125, being comparable with many recent 7B~9B models.

SmolLM - SmolLM is a series of state-of-the-art small language models available in three sizes: 135M, 360M, and 1.7B parameters.

MiniMind - Build AI models from scratch! MiniMind offers fast, affordable LLM training on a single GPU. Learn PyTorch & create your own AI.

OpenBMB - OpenBMB: Building a large-scale pre-trained language model center and tools to accelerate training, tuning, and inference of big models with over 10 billion parameters. Join our open-source community and bring big models to everyone.

More Alternatives