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Ichigo Llama3.1 S Instruct V0.4 GGUF

Developed by mradermacher
A statically quantized model based on Menlo/Ichigo-llama3.1-s-instruct-v0.4, offering multiple quantization versions to suit different hardware requirements.
Downloads 369
Release Time : 11/8/2024

Model Overview

This is a quantized language model based on the Llama architecture, primarily designed for instruction-following and text generation tasks. The model has undergone static quantization and provides multiple precision versions to adapt to various computing environments.

Model Features

Multiple Quantization Versions
Offers 13 different quantization versions from Q2_K to f16, catering to diverse hardware performance and precision needs
Efficient Inference
Quantized versions significantly reduce model size and improve inference speed, making them suitable for resource-constrained environments
Cross-platform Compatibility
GGUF format supports multiple platforms and devices, including ARM architecture

Model Capabilities

Text Generation
Instruction Following
English Language Processing

Use Cases

Natural Language Processing
Dialogue Systems
Building English chatbots
Text Generation
Generating coherent English text
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