gjdeboer/Foundation-Sec-8B-Instruct-mlx-fp16
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Feb 19, 2026License:otherArchitecture:Transformer Cold
The gjdeboer/Foundation-Sec-8B-Instruct-mlx-fp16 is an 8 billion parameter instruction-tuned language model, converted by gjdeboer to the MLX format for efficient deployment. This model is derived from fdtn-ai's Foundation-Sec-8B-Instruct and is optimized for use within the Apple MLX ecosystem. It provides a foundation for general-purpose instruction following tasks on Apple silicon.
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Overview
The gjdeboer/Foundation-Sec-8B-Instruct-mlx-fp16 is an 8 billion parameter instruction-tuned language model, specifically converted for the Apple MLX framework. This model is a quantized version of the original fdtn-ai/Foundation-Sec-8B-Instruct, enabling efficient inference on Apple silicon.
Key Capabilities
- MLX Compatibility: Fully converted and optimized for use with the
mlx-lmlibrary, ensuring native performance on Apple devices. - Instruction Following: Designed to respond to user instructions, making it suitable for various conversational and task-oriented applications.
- Efficient Deployment: The
fp16quantization allows for reduced memory footprint and faster execution compared to full precision models.
Good For
- Local Inference on Apple Hardware: Ideal for developers and users looking to run powerful language models directly on their Mac devices.
- Prototyping and Development: Provides a robust base model for building and testing AI applications within the MLX ecosystem.
- General Instruction-Based Tasks: Suitable for a wide range of applications requiring the model to follow specific commands or answer questions based on instructions.