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Llama 3.2 1B Instruct GGUF

Developed by unsloth
Llama 3.2 is one of the multilingual large language model series developed by Meta, featuring a 1B-parameter instruction-tuned version optimized for multilingual dialogue use cases.
Downloads 282.08k
Release Time : 9/25/2024

Model Overview

Llama 3.2 is a 1B-parameter instruction-tuned large language model optimized for multilingual dialogues, agent retrieval, and summarization tasks, demonstrating excellent performance across multiple benchmarks.

Model Features

Multilingual Support
Officially supports 8 languages, but trained on a broader range of languages, allowing fine-tuning for other languages.
Instruction Tuning Optimization
Aligned with human preferences using Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).
Efficient Inference
Employs Grouped Query Attention (GQA) to enhance inference scalability.
Unsloth Optimization
Achieves 5x speed improvement and 70% memory reduction through Unsloth technology.

Model Capabilities

Multilingual text generation
Dialogue systems
Text summarization
Agent retrieval
Instruction following

Use Cases

Dialogue Systems
Multilingual Chat Assistant
Build intelligent dialogue assistants supporting multiple languages.
Outperforms many open-source and proprietary chat models in common benchmarks.
Information Processing
Document Summarization
Automatically generate concise summaries of long documents.
Information Retrieval
Perform information retrieval as part of an agent system.
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