Qwen2 VL Instuct Bpmncoder Open - source Model: Doubles Inference Speed, Facilitating Efficient Applications

Qwen2 Vl Instuct Bpmncoder

Developed by utkarshkingh

4-bit quantized version based on Qwen2-VL-7B model, trained using Unsloth and Huggingface TRL library, achieving 2x inference speedup

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Release Time : 3/23/2025

Model Overview

A vision-language model supporting text generation and visual understanding tasks, specially optimized for inference efficiency

Efficient Inference

Training optimized with Unsloth, achieving 2x faster inference speed compared to original version

4-bit Quantization

Utilizes 4-bit quantization technology to reduce model memory footprint

Multimodal Capabilities

Supports both text and visual inputs for cross-modal understanding

Text generation

Visual question answering

Image understanding

Multimodal reasoning

Content Generation

Image caption generation

Generates detailed textual descriptions from input images

Intelligent Q&A

Visual question answering system

Answers complex questions about image content

Property	Details
Developed by	utkarshkingh
License	apache-2.0
Finetuned from model	unsloth/qwen2-vl-7b-instruct-unsloth-bnb-4bit
Tags	text-generation-inference, transformers, unsloth, qwen2_vl

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