Llama 3.2 is a foundational large language model released by Meta that supports text generation across multiple languages including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. The model has been converted to MLX format for optimized performance on compatible hardware. This 1B instruction-tuned variant is designed for conversational use cases and can be readily integrated into applications using the mlx-lm library for efficient inference and generation tasks.
Llama 3.2 is a foundational large language model released by Meta that supports text generation across multiple languages including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. The model has been converted to MLX format for optimized performance on compatible hardware. This 1B instruction-tuned variant is designed for conversational use cases and can be readily integrated into applications using the mlx-lm library for efficient inference and generation tasks.
Llama 3.2 is a foundational large language model released by Meta that supports text generation across multiple languages including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. The model has been converted to MLX format for optimized performance on compatible hardware. This 1B instruction-tuned variant is designed for conversational use cases and can be readily integrated into applications using the mlx-lm library for efficient inference and generation tasks.