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Meta Llama 3.1 8B Instruct Abliterated GGUF
M
Meta Llama 3.1 8B Instruct Abliterated GGUF
Developed by ZeroWw
A text generation model employing mixed quantization techniques, with output and embedding tensors in f16 format and other tensors quantized using q5_k or q6_k. It has a smaller size than the standard q8_0 quantization format while maintaining performance comparable to the pure f16 version.
Downloads 98
Release Time : 7/28/2024
Model Overview
This model focuses on efficient text generation tasks, optimizing model size through advanced quantization techniques while preserving high performance.
Model Features
Efficient Quantization
Uses a mixed quantization strategy of f16 and q5_k/q6_k, significantly reducing model size without performance loss.
Performance Retention
The quantized model maintains performance comparable to the pure f16 version, ensuring high-quality text generation.
Size Optimization
The sizes of f16.q6 and f16.q5 are both smaller than the standard q8_0 quantization format, facilitating deployment and usage.
Model Capabilities
Text Generation
Use Cases
Content Creation
Automated Text Generation
Used for generating articles, stories, or other creative text content.
Produces fluent and coherent text content.
Dialogue Systems
Chatbots
Used to build efficient dialogue systems with natural language interaction capabilities.
Delivers smooth and natural conversational experiences.
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