Qwen2-VL-7B-Latex-OCR Open-source Model - Doubling Inference Speed to Boost Efficient Latex Recognition

Qwen2 VL 7B Latex OCR

Developed by erickrus

A fine-tuned version of the Qwen2-VL-7B model, trained using Unsloth and Huggingface TRL library, achieving 2x inference speed improvement.

Downloads 35

Release Time : 2/16/2025

Model Overview

This is a vision-language model supporting text generation and visual understanding tasks, with special optimization for inference speed.

Efficient Inference

Optimized with Unsloth, achieving 2x faster inference speed compared to the original version.

4-bit Quantization

Utilizes 4-bit quantization technology to reduce memory requirements.

Vision-Language Capability

Supports both text and visual input understanding and generation.

Text generation

Visual understanding

Multimodal reasoning

Instruction following

Content Generation

Image Caption Generation

Generates detailed textual descriptions based on input images.

Question Answering Systems

Visual Question Answering

Answers complex questions about image content.

Property	Details
Base Model	unsloth/qwen2-vl-7b-instruct-unsloth-bnb-4bit
Tags	text-generation-inference, transformers, unsloth, qwen2_vl
License	apache-2.0
Language	en
Developer	erickrus

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