Llama-3.2-3B-Instruct-abliterated-GGUF Open Source Model - Small Size but with Performance Comparable to Pure f16

Llama 3.2 3B Instruct Abliterated GGUF

Developed by ZeroWw

An optimized quantized model where output and embedding tensors use f16 format, 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/q5_k Mixed Quantization #Low Storage High Performance

Downloads 20

Release Time : 10/8/2024

Model Overview

This model is a quantized version that reduces the model size while maintaining performance through optimized tensor formats. Suitable for scenarios requiring efficient inference.

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's performance is comparable to pure f16 format, making it suitable for efficient inference.

Model Capabilities

Text Generation

Use Cases

Efficient Inference

Lightweight Text Generation

Suitable for text generation tasks on resource-constrained devices.

Smaller model size with performance comparable to pure f16.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご

Llama 3.2 3B Instruct Abliterated GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 ZeroWw's Quantizations

🚀 Quick Start

✨ Features

📄 License

📅 Update Information