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--- |
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base_model: openbmb/MiniCPM-V-2_6 |
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datasets: |
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- openbmb/RLAIF-V-Dataset |
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language: |
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- multilingual |
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library_name: transformers |
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pipeline_tag: image-text-to-text |
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tags: |
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- minicpm-v |
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- vision |
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- ocr |
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- multi-image |
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- video |
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- custom_code |
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lm_studio: |
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param_count: 8b |
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use_case: image |
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release_date: 05-08-2024 |
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model_creator: OpenBMB |
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prompt_template: ChatML |
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system_prompt: You are a helpful assistant. |
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base_model: MiniCPM-V |
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original_repo: openbmb/MiniCPM-V-2_6 |
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--- |
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## 💫 Community Model> MiniCPM-V 2.6 by OpenBMB |
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*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*. |
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**Model creator:** [OpenBMB](https://huggingface.co/OpenBMB)<br> |
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**Original model**: [MiniCPM-V-2_6](https://huggingface.co/openbmb/MiniCPM-V-2_6)<br> |
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**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3600](https://github.com/ggerganov/llama.cpp/releases/tag/b3600)<br> |
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* Requires LM Studio version 0.3.0 and up, please check for updates |
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## Model Summary: |
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MiniCPM-V 2.6 is the latest and most capable model in the MiniCPM-V series. The model is built on SigLip-400M and Qwen2-7B with a total of 8B parameters.<br> |
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It exhibits a significant performance improvement over MiniCPM-Llama3-V 2.5, and introduces new features for multi-image and video understanding. |
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## Prompt Template: |
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Choose the `ChatML` preset in your LM Studio. |
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Under the hood, the model will see a prompt that's formatted like so: |
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``` |
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<|im_start|>system |
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You are a helpful assistant.<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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## Technical Details |
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MiniCPM-V 2.6 manages to beat widely used proprietary models like GPT-4o mini, GPT-4V, Gemini 1.5 Pro, and Claude 3.5 Sonnet for single image understanding. |
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MiniCPM-V 2.6 is capable of performing conversation and reasoning over multiple images, and is also able to accept video inputs |
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This model can process images with any aspect ratio and up to 1.8 million pixels (e.g., 1344x1344) and perform state of the art OCR on them. |
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## Special thanks |
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🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible. |
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## Disclaimers |
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LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio. |
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