Ichigo Llama3.1 S Instruct V0.4 GGUF
A statically quantized model based on Menlo/Ichigo-llama3.1-s-instruct-v0.4, offering multiple quantization versions to suit different hardware requirements.
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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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