The 4-bit quantized version of VibeThinker-1.5B, optimized for Apple chips based on the MLX framework, is a dense language model with 1.5 billion parameters, specifically designed for mathematical reasoning and algorithm coding problems.

Natural Language ProcessingMlxMultiple Languages

This model is based on the Kimi-Linear-48B-A3B-Instruct large language model of moonshotai and is converted into an 8-bit quantized version suitable for Apple Silicon chips (MLX framework) using the mlx-lm tool. It is an instruction fine-tuned model with 48B parameters, designed specifically for following human instructions and dialogue interaction.

Natural Language ProcessingMlx

IBM Granite-4.0-H-Tiny is a hybrid Mamba-2/Transformer model optimized for Apple silicon chips, using 3-bit quantization technology, and is designed for long context, efficient inference, and enterprise use. This model combines the Mamba-2 architecture with the Mixture of Experts (MoE) technology, significantly reducing memory usage while maintaining expressiveness.

Natural Language ProcessingMlxMultiple Languages

Apriel-1.5-15B-Thinker is a 15-billion-parameter multimodal model designed for image understanding and reasoning. It uses the mid-term training method instead of RLHF training. This version is an MLX quantized version suitable for Apple chips, featuring low memory usage and fast startup speed.

MultimodalMlxEnglish

This is a text embedding model converted to the MLX format, derived from Google's EmbeddingGemma-300m model. It is specifically designed for sentence similarity calculation and text embedding tasks. The model uses BF16 precision and is suitable for efficient inference on Apple chip devices.

Natural Language ProcessingSentence-transformers

MiniCPM4.1-8B-GGUF is a GGUF quantized format version of the MiniCPM4.1-8B model. It is an efficient large language model designed for edge devices, with 8 billion parameters, supporting integrated thinking, and can achieve more than 5 times the generation acceleration on typical edge chips.

Natural Language ProcessingTransformersMultiple Languages

Marvis is an advanced conversational voice model designed for real-time streaming text-to-speech synthesis. It focuses on efficiency and ease of use, supporting high-quality real-time voice synthesis on consumer devices such as Apple chips, iPhones, iPads, and Macs.

Audio ProcessingTransformersEnglish

Qwen3-Coder-30B-A3B-Instruct is a code generation model with a 30B parameter scale launched by Qwen. It has been optimized through instruction fine - tuning and is specifically designed for programming tasks. This model uses the MLX framework for 4 - bit quantization and is optimized for Apple chips, enabling efficient operation on Mac devices.

Natural Language ProcessingTransformers

A text generation tool library based on the Qwen3-Coder-480B-A35B-Instruct model, specifically designed for code generation and text content generation tasks. It is optimized using MLX 8-bit quantization technology and is suitable for Apple chip devices.

Natural Language ProcessingTransformers

MiniCPM4 is an efficient large language model designed specifically for edge devices. While maintaining optimal performance at the same scale, it achieves extreme efficiency improvements, enabling over 5x generation acceleration on typical edge chips.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4 is an efficient large language model designed specifically for edge devices. Through systematic innovation, it achieves extreme efficiency improvements in four dimensions: model architecture, training data, training algorithm, and inference system. It can achieve over 5 times faster generation speed on edge chips.

Natural Language ProcessingTransformersMultiple Languages

Qwen3-4B-4bit is a 4-bit quantized version converted from Qwen/Qwen3-4B to the MLX format, designed for efficient operation on Apple chips.

Natural Language ProcessingSafetensors

WhisperKit is a local speech recognition framework specifically designed for Apple chips, offering efficient automatic speech recognition capabilities.

Audio ProcessingCoremlOther

An 8-billion-parameter brand safety classification model optimized based on Llama 3.1, specifically designed for Apple chip devices

Natural Language ProcessingTransformersMultiple Languages

MLX framework version optimized from Stable Diffusion 3.5 Large, specifically designed for Apple chip-optimized text-to-image generation models

Computer VisionMlxEnglish