Dolphin 2.9 Llama3 70B AWQ Open Source Model - Achieve Efficient Inference with Adapted Inference Engine

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Dolphin 2.9 Llama3 70b Awq

Developed by julep-ai

AWQ quantized version of Dolphin 2.9 Llama3 70B, suitable for vllm and other inference engines.

Large Language Model

Transformers

#70B large parameters #AWQ quantization #vLLM optimization

Downloads 19

Release Time : 5/3/2024

Model Overview

This model is a large language model based on the Llama3 70B architecture, optimized with AWQ quantization for improved inference speed and resource efficiency, suitable for various text generation and understanding tasks.

Model Features

AWQ Quantization

Optimizes the model with AWQ quantization technology to reduce memory usage and computational resource requirements while maintaining high inference accuracy.

High-performance Inference

Compatible with vllm and other inference engines, providing efficient text generation capabilities.

Large Parameter Scale

Based on the Llama3 70B architecture, it possesses strong language understanding and generation capabilities.

Model Capabilities

Text generation

Dialogue systems

Question answering systems

Language understanding

Use Cases

Natural Language Processing

Chatbot

Used to build high-performance dialogue systems, providing smooth interactive experiences.

Content Generation

Generates high-quality articles, summaries, or other text content.

Education

Intelligent Q&A

Used in educational question answering systems to answer students' questions.

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Dolphin 2.9 Llama3 70b Awq

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 AWQ Quantized Dolphin-2.9-Llama3-70b

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✨ Features