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Llama 3.2 3B Instruct

Developed by alpindale
Llama 3.2 is a collection of multilingual large language models launched by Meta, including pre-trained and instruction-tuned generative models of 1B and 3B sizes. It is optimized for multilingual dialogue use cases and performs well in common industry benchmark tests.
Downloads 1,691
Release Time : 9/25/2024

Model Overview

Llama 3.2 is an autoregressive language model that uses an optimized Transformer architecture, supports multiple languages, and is suitable for commercial and research purposes.

Model Features

Multilingual support
Officially supports 8 languages and is trained on a broader language set.
Optimized architecture
Adopts an optimized Transformer architecture, and the tuned version uses supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF).
High-performance
Outperforms many existing open-source and closed-source chat models in common industry benchmark tests.
Long context support
Supports a context length of 128k.

Model Capabilities

Multilingual text generation
Knowledge retrieval
Text summarization
Mobile AI writing assistant
Query and prompt rewriting

Use Cases

Chat and agent applications
Multilingual chat assistant
Used for assistant-like chat and agent applications.
Supports smooth conversations in multiple languages.
Knowledge retrieval
Retrieves relevant information from a large amount of text.
Efficiently and accurately provides the required information.
Text generation
Text summarization
Generates a concise summary of long text.
Significantly shortens the text while retaining key information.
Writing assistant
Helps users generate high-quality text content.
Improves writing efficiency and quality.
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