Hugging Face Overview
Model Overview
The mlx-community/Llama-3.3-70B-Instruct-bf16 is a 70 billion parameter instruction-tuned language model, originally developed by Meta as Llama-3.3-70B-Instruct. This version has been specifically converted to the MLX format, making it optimized for use with Apple silicon (e.g., M1, M2, M3 chips) via the MLX framework.
Key Characteristics
- Architecture: Based on the Llama-3.3 family, known for strong performance in various NLP tasks.
- Parameter Count: Features 70 billion parameters, enabling sophisticated language understanding and generation capabilities.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for the processing of long prompts and the generation of extended, coherent responses.
- Instruction-Tuned: Fine-tuned to follow instructions effectively, making it suitable for conversational agents, question answering, and task automation.
- MLX Optimization: Converted using
mlx-lmversion 0.20.1, ensuring efficient execution on MLX-compatible hardware.
Use Cases
This model is well-suited for applications requiring a powerful, instruction-following language model that can run efficiently on Apple's MLX ecosystem. Potential uses include:
- Advanced chatbots and virtual assistants.
- Complex text generation and summarization.
- Code generation and explanation.
- Reasoning and problem-solving tasks.