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HomeLLMsLlama 3.3 70B Instruct AWQ

Llama 3.3 70B Instruct AWQ

by kosbu

Open source · 477k downloads · 10 likes

1.3
(10 reviews)ChatAPI & Local
About

The Llama 3.3 70B Instruct AWQ model is an optimized and streamlined version of the Llama 3.3 70B Instruct model, specifically designed to operate with 4-bit quantization. This compression significantly reduces resource requirements while maintaining high performance, making it more accessible for local deployments or use on limited infrastructure. Built to follow precise instructions, it excels in tasks such as text generation, question answering, information synthesis, and conversational assistance, delivering high accuracy and consistency. Its key strengths lie in its balance between power and efficiency, enabling smooth operation even on modest hardware configurations. Ideal for developers, researchers, or businesses seeking to integrate a high-performing model without investing in high-end hardware, it stands out for its ability to combine response quality with accessibility.

Documentation

Llama-3.3-70B-Instruct AWQ 4-Bit Quantized Version

This repository provides the AWQ 4-bit quantized version of meta-llama/Llama-3.3-70B-Instruct, originally developed by Meta AI.

Capabilities & Tags
transformerssafetensorsllamatext-generationfacebookmetallama-3awqconversationalen
Links & Resources
Specifications
CategoryChat
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Parameters70B parameters
Rating
1.3

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