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Llama 3.2 1B Instruct AWQ

Developed by AMead10
The Llama 3.2 series are multilingual large language models, available in 1B and 3B parameter scales, optimized for multilingual dialogue use cases, including agent retrieval and summarization tasks.
Downloads 429
Release Time : 9/25/2024

Model Overview

Llama 3.2 is a pretrained and instruction-tuned generative model supporting multiple languages, suitable for commercial and research purposes, particularly ideal for assistant-like chat and agent applications.

Model Features

Multilingual Support
Officially supports 8 languages with broader training language coverage, allowing developers to fine-tune for other languages.
Instruction-Tuning Optimization
Optimized for multilingual dialogue use cases, including agent retrieval and summarization tasks.
High-Performance Inference
Uses Grouped Query Attention (GQA) to improve inference scalability.
Safety Alignment
Aligned with human preferences through supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF), enhancing helpfulness and safety.

Model Capabilities

Multilingual Text Generation
Knowledge Retrieval
Summarization
Dialogue Assistant
Query Rewriting
Prompt Rewriting

Use Cases

Chat Applications
Multilingual Chatbot
Build a dialogue assistant supporting multiple languages
Outperforms many open-source and closed-source chat models on common industry benchmarks
Content Generation
Mobile AI Writing Assistant
Helps users generate and optimize text content
Information Processing
Knowledge Retrieval
Extracts relevant information from large texts
Text Summarization
Generates concise summaries of texts
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