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Qwen3 8B GGUF
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Qwen3 8B GGUF

Developed by ZeroWw
ZeroWw is a quantized text generation model that uses f16 format for output and embedding tensors, while other tensors use q5_k or q6_k format, resulting in a smaller size with performance comparable to pure f16.
Large Language Model EnglishOpen Source License:MIT#Quantized text generation#f16 embedding optimization#Low storage requirement
Downloads 236
Release Time : 4/29/2025

Model Overview

This model is primarily used for text generation tasks, reducing model size through quantization while maintaining high performance.

Model Features

Efficient Quantization
Output and embedding tensors use f16 format, while other tensors use q5_k or q6_k format, significantly reducing model size.
Performance Retention
The quantized model performs comparably to pure f16 format with no significant performance loss.
Size Optimization
The f16.q6 and f16.q5 quantized versions are smaller in size than the standard q8_0 quantization.

Model Capabilities

Text generation

Use Cases

Text generation
Content creation
Used for automatically generating articles, stories, or other text content.
Dialogue systems
Used for building chatbots or virtual assistants.
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