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Llama 3.2 1B Instruct QLORA INT4 EO8

Developed by meta-llama
Llama 3.2 is a multilingual large language model series launched by Meta, including pre-trained and instruction fine-tuned versions with 1B and 3B parameters, supporting 8 official languages and optimizing multilingual dialogue scenarios.
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Release Time : 10/23/2024

Model Overview

Llama 3.2 is a generative model optimized for multilingual dialogue, suitable for tasks such as knowledge retrieval and summarization, using an optimized transformer architecture and grouped query attention technology.

Model Features

Multilingual support
Officially supports 8 languages, and the actual training languages are more extensive. It can be fine-tuned to support more languages.
Efficient inference
Uses grouped query attention (GQA) technology to improve inference scalability.
Security optimization
Ensures the output meets security standards through supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF).

Model Capabilities

Multilingual text generation
Intelligent dialogue
Knowledge retrieval
Text summarization
Query rewriting

Use Cases

Intelligent assistant
Multilingual chat assistant
Supports dialogue interactions in multiple languages
Outperforms most open-source/closed-source chat models in industry benchmark tests
Mobile writing assistant
Helps users create multilingual content
Information processing
Knowledge retrieval
Extracts key information from text data
Document summarization
Generates concise summaries of multilingual texts
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