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28 lines
1.6 KiB
Markdown
28 lines
1.6 KiB
Markdown
## Phi-3-vision-128K-Instruct vs MiniCPM-Llama3-V 2.5
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Comparison results of Phi-3-vision-128K-Instruct and MiniCPM-Llama3-V 2.5, regarding the model size, hardware requirements, and performances.
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With int4 quantization, MiniCPM-Llama3-V 2.5 delivers **smooth inference with only 8GB of GPU memory**. In most benchmarks, MiniCPM-Llama3-V 2.5 achieves **better performance** compared with Phi-3-vision-128K-Instruct. Moreover, MiniCPM-Llama3-V 2.5 also exhibits **lower latency and better throughtput even without quantization**.
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我们提供了从模型参数、硬件需求、性能指标等方面对比 Phi-3-vision-128K-Instruct 和 MiniCPM-Llama3-V 2.5 的结果。通过 int4 量化，MiniCPM-Llama3-V 2.5 **仅需 8GB 显存即可推理**。在大多数评测集上， MiniCPM-Llama3-V 2.5 相比于 Phi-3-vision-128K-Instruct 都展现出了**更优的性能表现**。 即使未经量化，MiniCPM-Llama3-V 2.5 的**推理延迟和吞吐率也都更具优势**。
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<div align="center">
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<img src="../assets/phi3_vision_comparison.jpg" width="85%" />
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</div>
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### Multilingual Capabilities（多语言能力对比）
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MiniCPM-Llama3-V 2.5 exhibits **stronger multilingual** capabilities compared with Phi-3-vision-128K-Instruct on LLaVA Bench.
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MiniCPM-Llama3-V 2.5 在对话和推理评测榜单 LLaVA Bench 上展现出了比 Phi-3-vision-128K-Instruct **更强的多语言的性能**。
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<div align="center">
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<img src="../assets/llavabench_compare_phi3.png" width="85%" />
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<br>
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Evaluation results of LLaVABench in multiple languages
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<br>
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多语言LLaVA Bench评测结果
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</div>
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