Qwen2.5-VL-7B-Instruct-4bit Open-Source Multimodal Model - Free Deployment, Training Speed Doubled

Qwen2.5 VL 7B Instruct 4bit

Developed by jarvisvasu

A multimodal model fine-tuned based on Qwen2.5-VL-7B-Instruct, utilizing the Unsloth acceleration framework and TRL library for training, achieving a 2x speed improvement

Text-to-Image

Transformers

EnglishOpen Source License:Apache-2.0 #Multimodal Instruction Understanding #Unsloth Accelerated Training #Visual Language Reasoning

Downloads 180

Release Time : 1/29/2025

Model Overview

This is a multimodal model supporting vision-language tasks, capable of processing joint inputs of images and text, suitable for multimodal understanding and generation tasks

Model Features

Unsloth Acceleration Framework

Utilizes the Unsloth acceleration framework, achieving a 2x training speed improvement

TRL Training Library

Trained using Huggingface's TRL library

Multimodal Capability

Supports joint input and processing of vision and language

Model Capabilities

Text generation

Image understanding

Multimodal reasoning

Instruction following

Use Cases

Multimodal Applications

Image Caption Generation

Generates descriptive text based on input images

Visual Question Answering

Answers natural language questions about image content

Content Creation

Multimodal Content Generation

Generates related content by combining image and text inputs

Property	Details
Developed by	jarvisvasu
License	apache - 2.0
Finetuned from model	Qwen/Qwen2.5-VL-7B-Instruct
Base Model	Qwen/Qwen2.5-VL-7B-Instruct
Tags	text - generation - inference, transformers, unsloth, qwen2_5_vl, trl
Language	en

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Qwen2.5 VL 7B Instruct 4bit

Model Overview

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Use Cases

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