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Smolvlm2 2.2B Instruct 4bit
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Smolvlm2 2.2B Instruct 4bit

Developed by smdesai
SmolVLM2-2.2B-Instruct-4bit is a vision-language model based on MLX format conversion, focusing on video text-to-text tasks.
Image-to-Text
Transformers
 EnglishOpen Source License:Apache-2.0#Video Text Generation#Multimodal Instruction Fine-tuning#4-bit Quantized Efficient Inference
Downloads 24
Release Time : 2/20/2025

Model Overview

This model is converted from HuggingFaceTB/SmolVLM2-2.2B-Instruct, supporting multimodal interaction between video and text, suitable for tasks like video description generation.

Model Features

Multimodal Support
Supports interaction between video and text, capable of processing video content and generating relevant textual descriptions.
Efficient Inference
Utilizes 4-bit quantization technology to reduce model resource requirements and improve inference efficiency.
Extensive Dataset Training
Trained on multiple high-quality datasets, including Docmatix, LLaVA-OneVision-Data, etc.

Model Capabilities

Video Content Understanding
Text Generation
Multimodal Interaction

Use Cases

Video Content Analysis
Video Description Generation
Generates detailed textual descriptions based on video content.
Produces accurate and coherent video description texts.
Education
Video-Assisted Learning
Generates supplementary text for educational videos to aid learners in better understanding the content.
Enhances learning experience and comprehension.
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