### Space-voice-label-detect-beta Open-source Model - Quickly and Accurately Implement Voice Label Detection, with Inference Twice as Fast

Space Voice Label Detect Beta

Developed by devJy

Fine-tuned version based on Qwen2.5-VL-3B model, trained using Unsloth and Huggingface TRL library, achieving 2x inference speed improvement

Text-to-Image

Transformers

EnglishOpen Source License:Apache-2.0 #Efficient Fine-tuning #4-bit Quantization #Instruction Optimization

Downloads 38

Release Time : 4/5/2025

Model Overview

This is an optimized vision-language model that supports text generation and visual understanding tasks, specifically fine-tuned for instruction-following scenarios

Model Features

Efficient Training

Trained using Unsloth framework, achieving 2x speed improvement

4-bit Quantization

Utilizes 4-bit quantization technology to reduce memory usage

Multimodal Capability

Supports both text and visual input for understanding and generation

Instruction Optimization

Specially optimized for instruction-following scenarios

Model Capabilities

Text generation

Visual Question Answering

Multimodal Understanding

Instruction Following

Use Cases

Intelligent Assistant

Multimodal Dialogue

Interactive dialogue based on text and images

Capable of understanding and answering complex questions about image content

Content Generation

Image Caption Generation

Generates detailed descriptions based on input images

Produces accurate and expressive image descriptions

Property	Details
Developed by	devJy
License	apache-2.0
Finetuned from model	unsloth/qwen2.5-vl-3b-instruct-unsloth-bnb-4bit
Tags	text-generation-inference, transformers, unsloth, qwen2_5_vl
Base Model	unsloth/qwen2.5-vl-3b-instruct-unsloth-bnb-4bit

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Space Voice Label Detect Beta

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Uploaded finetuned model

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Model Information

📄 License