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Toriigate V0.4 7B I1 GGUF

Developed by mradermacher
This is a weighted/importance matrix quantized version of the Minthy/ToriiGate-v0.4-7B model, offering multiple quantization options to suit different needs.
Downloads 410
Release Time : 3/4/2025

Model Overview

ToriiGate-v0.4-7B is a multimodal model supporting vision and image-to-text tasks. This GGUF version provides various quantization options suitable for different hardware and performance requirements.

Model Features

Multiple Quantization Options
Offers various quantization versions from IQ1 to Q6_K to accommodate different hardware and performance needs.
Multimodal Support
Supports vision and image-to-text tasks, suitable for diverse application scenarios.
Efficient Inference
Optimizes model size and inference speed through quantization techniques, ideal for resource-constrained environments.

Model Capabilities

Image-to-Text
Multimodal Processing
Efficient Inference

Use Cases

Image Understanding
Image Caption Generation
Generates descriptive text based on input images.
Multimodal Interaction
Visual Question Answering
Answers questions by combining image and text inputs.
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