Run DeepSeek-R1 Dynamic 1.58-bit
DeepSeek R-1 is the most powerful open-source reasoning model that performs on par with OpenAI's o1 model.
Run the 1.58-bit Dynamic GGUF version by Unsloth.
Is MLX the best Fine Tuning Framework?
🚀 Want to fine-tune AI models on your Mac without cloud services? As an ex-Ollama developer, I'll show you how to use Apple's MLX framework to fine-tune mod...
GitHub - apple/corenet: CoreNet: A library for training deep neural networks
CoreNet: A library for training deep neural networks - apple/corenet
Large language models on a mobile device? – Macs in Chemistry
Apple M2 Max GPU vs Nvidia V100, P100 and T4 | by Fabrice Daniel | No…
archived 5 Nov 2023 01:42:48 UTC
ml-explore/mlx: MLX: An array framework for Apple silicon
MLX: An array framework for Apple silicon. Contribute to ml-explore/mlx development by creating an account on GitHub.
replicate/latent-consistency-model: Run Latent Consistency Models on your Mac
Run Latent Consistency Models on your Mac. Contribute to replicate/latent-consistency-model development by creating an account on GitHub.
Generate images in one second on your Mac using a latent consistency model
How to run a latent consistency model on your M1 or M2 Mac
GitHub - smol-ai/GodMode: AI Chat Browser: Fast, Full webapp access to ChatGPT / Claude / Bard / Bing / Llama2! I use this 20 times a day.
AI Chat Browser: Fast, Full webapp access to ChatGPT / Claude / Bard / Bing / Llama2! I use this 20 times a day. - GitHub - smol-ai/GodMode: AI Chat Browser: Fast, Full webapp access to ChatGPT / C...
Running PyTorch on the M1 GPU
Run Llama-2-13B-chat locally on your M1/M2 Mac with GPU inference. Uses 10GB RAM
Run Llama-2-13B-chat locally on your M1/M2 Mac with GPU inference. Uses 10GB RAM - llama2-mac-gpu.sh