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Deepcogito Cogito V1 Preview Llama 3B GGUF

Developed by tensorblock
A 3B-parameter language model based on the Llama architecture, offering multiple quantization versions to suit different hardware needs
Downloads 162
Release Time : 4/26/2025

Model Overview

This is a 3B-parameter pre-trained language model based on the Llama architecture, providing multiple quantization versions from Q2_K to Q8_0, suitable for deployment in resource-constrained environments.

Model Features

Multiple quantization versions
Offers 11 quantization versions from Q2_K to Q8_0 to accommodate different hardware environments and performance requirements
Hardware compatibility
GGUF format is compatible with various hardware platforms, especially suitable for edge device deployment
Efficient inference
Optimized quantization versions significantly reduce memory usage while maintaining reasonable quality

Model Capabilities

Text generation
Dialogue systems
Content creation

Use Cases

Edge computing
Mobile applications
Deploy lightweight language models on mobile devices such as smartphones
The Q4_K_M version significantly reduces resource requirements while maintaining good generation quality
Development testing
Prototype development
Provides developers with a prototype testing platform featuring multiple quantization options
Quickly validate the impact of different quantization levels on model performance
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