usermma/VibeThinker-3B-mlx-fp16
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 16, 2026License:mitArchitecture:Transformer Open Weights Cold
VibeThinker-3B-mlx-fp16 is a 3.1 billion parameter language model, converted by usermma to the MLX format from WeiboAI's VibeThinker-3B. This model is designed for efficient deployment and inference on Apple silicon, leveraging the MLX framework. It provides a compact yet capable foundation for various natural language processing tasks, optimized for local execution environments.
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Overview
VibeThinker-3B-mlx-fp16 is a 3.1 billion parameter language model, originally developed by WeiboAI as VibeThinker-3B, and subsequently converted by usermma into the MLX format. This conversion facilitates optimized performance and inference on Apple silicon, making it suitable for local machine learning applications.
Key Capabilities
- Efficient Local Inference: Optimized for execution on Apple silicon using the MLX framework.
- Compact Size: With 3.1 billion parameters, it offers a balance between performance and resource consumption.
- Foundation Model: Provides a base for various natural language processing tasks.
Good For
- Developers on Apple Silicon: Ideal for those looking to run language models efficiently on their local Apple hardware.
- Resource-Constrained Environments: Suitable for applications where larger models are impractical due to memory or computational limits.
- Experimentation: A good choice for experimenting with MLX-compatible models and local LLM deployment.