# Multilingual Dialogue Optimization

Llama 3.2 is a collection of 1B and 3B parameter-scale multilingual generative models released by Meta, optimized for dialogue scenarios and supporting various language tasks.

An efficient large language model optimized with Unsloth's dynamic 4-bit quantization technology, based on Meta Llama 3.2-3B-Instruct

The Alpaca 3.2 series is a multilingual large language model developed by Meta, available in 1B and 3B parameter sizes, optimized for multilingual dialogue use cases.

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.

Llama 3.2 is a set of pre-trained and instruction-tuned generative models, including 1B and 3B scales, optimized for multilingual dialogue use cases, including agent retrieval and summarization tasks.

Llama-3.2-3B is a multilingual large language model released by Meta, featuring a 3B-parameter pre-trained and instruction-tuned generative model optimized for multilingual dialogue use cases.

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.

Llama 3.2 is a multilingual large language model series developed by Meta, including 1B and 3B scale pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios, supporting text input/output.

Llama 3.2 is a multilingual large language model series developed by Meta, including 1B and 3B scale pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios, supporting intelligent retrieval and summarization tasks.

Llama 3.2 is a multilingual large language model series launched by Meta, including 1B and 3B parameter pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios, supporting agent retrieval and summarization tasks.

Llama 3.1 is Meta's multilingual large language model series, featuring 8B, 70B, and 405B parameter scales, supporting 8 languages and code generation, with optimized multilingual dialogue scenarios.

Meta Llama 3.1 is a series of multilingual large language models, including 8B, 70B, and 405B pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios.

A multilingual large language model fine-tuned using the ORPO method, based on lightblue/suzume-llama-3-8B-multilingual

A 35-billion-parameter multilingual large language model fine-tuned based on the CohereForAI/c4ai-command-r-v01 architecture, specializing in long-context processing and fact-based data generation