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ReminiScenceAI/Vintern-1B-v3_5-GGUF
Vintern-1B-v3_5-GGUF is a image-text-to-text model from ReminiScenceAI. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
This repository contains GGUF quantized weights for Vintern-1B-v3.5, developed by 5CD-AI.
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From the Hugging Face model README
This repository contains GGUF quantized weights for Vintern-1B-v3.5, developed by 5CD-AI.
Vintern-1B-v3.5 is a state-of-the-art Multimodal Large Language Model (MLLM) optimized for the Vietnamese language. Despite its compact size of 1 billion parameters, it demonstrates exceptional performance in document understanding, OCR, and detailed image description, making it ideal for edge computing and local deployment.
llama.cpp, LM Studio, and other GGUF-supported ecosystems.| File | Quantization | Description |
|---|---|---|
vintern-1b-v3.5-q4_k_m.gguf | Q4_K_M | Recommended. Balanced performance and accuracy. |
vintern-1b-v3.5-q8_0.gguf | Q8_0 | High precision, near-original quality but larger file size. |
vintern-1b-v3.5-q5_k_m.gguf | Q5_K_M | Better accuracy than Q4 with a slight increase in RAM usage. |
To run this Vision-Language Model, you need both the Main GGUF file and the Multi-Modal Projector (mmproj) file.
Download the latest version of llama.cpp, following instruction from Llama.cpp's GitHub and run:
./llama-cli -m vintern-1b-v3.5-q4_k_m.gguf \
--mmproj vintern-1b-v3.5-mmproj-f16.gguf \
--image path/to/your/image.jpg \
-p "Describe this image in detail in Vietnamese."