usermma/Mythos-nano-OBLITERATED-mlx-fp16
The usermma/Mythos-nano-OBLITERATED-mlx-fp16 is a 3.1 billion parameter language model, converted to the MLX format for efficient deployment on Apple silicon. This model is derived from usermma/Mythos-nano-OBLITERATED and supports a context length of 32768 tokens. Its primary differentiator is its optimization for MLX, making it suitable for local inference on compatible hardware. It is designed for general language generation tasks within the MLX ecosystem.
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Model Overview
The usermma/Mythos-nano-OBLITERATED-mlx-fp16 is a 3.1 billion parameter language model, specifically converted to the MLX format. This conversion enables optimized performance on Apple silicon, leveraging the MLX framework version 0.31.2. The base model, usermma/Mythos-nano-OBLITERATED, provides the core language capabilities, which are then made accessible for efficient local inference through this MLX-optimized version.
Key Characteristics
- Parameter Count: 3.1 billion parameters, offering a balance between capability and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
- MLX Optimization: Specifically designed for the MLX ecosystem, ensuring efficient execution on compatible hardware, particularly Apple silicon.
Usage and Integration
This model is intended for developers working within the MLX framework. It can be easily loaded and used for text generation tasks using the mlx_lm library. The provided code examples demonstrate how to load the model and tokenizer, apply chat templates if available, and generate responses, facilitating quick integration into MLX-based applications.