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50 lines
2.0 KiB
Markdown
50 lines
2.0 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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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。
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## Hardeware Requirements (硬件需求)
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With in4 quantization, MiniCPM-Llama3-V 2.5 delivers smooth inference with only 8GB of GPU memory.
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通过 in4 量化,MiniCPM-Llama3-V 2.5 仅需 8GB 显存即可推理。
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| Model(模型) | GPU Memory(显存) |
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|:----------------------|:-------------------:|
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| [MiniCPM-Llama3-V 2.5](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/) | 19 GB |
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| Phi-3-vision-128K-Instruct | 12 GB |
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| [MiniCPM-Llama3-V 2.5 (int4)](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-int4/) | 8 GB |
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## Model Size and Peformance (模型参数和性能)
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In most benchmarks, MiniCPM-Llama3-V 2.5 achieves **better performance** compared with Phi-3-vision-128K-Instruct.
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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**.
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| | Phi-3-vision-128K-Instruct | MiniCPM-Llama3-V 2.5|
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|:-|:----------:|:-------------------:|
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| Size(参数) | **4B** | 8B|
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| OpenCompass 2024/05 | 53.7 | **58.8** |
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| OCRBench | 639.0 | **725.0**|
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| RealworldQA | 58.8 | **63.5**|
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| TextVQA | 72.2 | **76.6** |
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| ScienceQA| **90.8** | 89.0 |
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| POPE | 83.4 | **87.2** |
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## Multilingual Capabilities
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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_3.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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