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Llama 3.2 1B Instruct FP8

Developed by RedHatAI
FP8 quantized version of Llama-3.2-1B-Instruct, suitable for multilingual business and research applications, with performance close to the original model.
Downloads 1,718
Release Time : 9/26/2024

Model Overview

This is a 1B parameter instruction-tuned model based on the Llama-3 architecture, optimized with FP8 quantization for assistant-style dialogue scenarios.

Model Features

FP8 quantization
Utilizes FP8 quantization for both weights and activations, reducing memory requirements by 50% and doubling computational throughput.
Multilingual support
Supports text generation tasks in 8 languages.
High performance retention
Performance degradation is less than 1% across multiple benchmarks, closely matching the original model.
Efficient deployment
Supports vLLM backend deployment and provides OpenAI-compatible services.

Model Capabilities

Multilingual text generation
Assistant-style dialogue
Knowledge Q&A
Task completion

Use Cases

Intelligent assistant
Multilingual customer service bot
Deployed as an online customer support assistant supporting multiple languages
Can handle common customer inquiries in 8 languages
Education
Language learning assistant
Acts as a conversation partner for language learners
Provides multilingual interactive experiences
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