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Qwen3 4B GGUF
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Qwen3 4B GGUF

Developed by ZeroWw
A quantized text generation model with output and embedding tensors in f16 format, while other tensors use q5_k or q6_k quantization, resulting in a smaller size with performance comparable to the pure f16 version.
Large Language Model EnglishOpen Source License:MIT#Quantized text generation#f16 embedding optimization#Low storage requirements
Downloads 495
Release Time : 4/29/2025

Model Overview

This model is a quantized version of a text generation model, optimized to reduce its size by adjusting tensor formats while maintaining performance similar to the original version.

Model Features

Efficient Quantization
Output and embedding tensors use f16 format, while other tensors are quantized with q5_k or q6_k, significantly reducing model size.
Performance Retention
The quantized model maintains performance comparable to the pure f16 version, with no noticeable performance loss.
Size Optimization
Both f16.q6 and f16.q5 sizes are smaller than standard q8_0 quantization, making them more suitable for resource-constrained environments.

Model Capabilities

Text generation

Use Cases

Text generation
Content creation
Used for generating articles, stories, or other textual content.
Dialogue systems
Used for building chatbots or conversational assistants.
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