microsoft/Phi-3-vision-128k-instruct for Apple MLX
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Updated
Jun 2, 2024 - Jupyter Notebook
microsoft/Phi-3-vision-128k-instruct for Apple MLX
SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.
MoE Decoder Transformer implementation with MLX
MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX.
Implementations of Deep Learning Techniques
Created and enhanced a local LLM training system on Apple Silicon with MLX and Metal API, overcoming the absence of CUDA support. Fine-tuned the Llama3 model on 16 GPUs for streamlined solution of verbose math word problems. Result: a powerful, privacy-preserving chatbot that runs smoothly on-device.
Meme search engine and recommendation system using CLIP-based neural nets
A simple UI / Web / Frontend for MLX mlx-lm using Streamlit.
Examples for using the SiLLM framework for training and running Large Language Models (LLMs) on Apple Silicon
大模型推理框架加速,让 LLM 飞起来
This project is a simple 2D game designed to make you use textures, sprites and some basic gameplay elements.
Benchmark of Apple MLX operations on all Apple Silicon chips (GPU, CPU) + MPS and CUDA.
Single safetensors file support Apple MLX Stable Diffusion
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