Prince Canuma
@Prince_CanumaApple MLX King 🤴🏽• ML Research Engineer @arcee_ai👨🏾💻 • MLOps • LLMs • RAG • Speaker • Writer • Ex-@neptune_ai • https://t.co/iZnxoefJBU
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New video is OUT 🎉🚀 Get started Gemma 2 Locally on Mac using MLX In this video, we'll explore how to convert and run Google's Gemma 2 language model locally on your Mac using the MLX framework. You'll learn: - What Google Gemma 2 is and its variants - How to convert a…
Molmo won today. I will try again tomorrow 😁
Molmo port to MLX update 🔥🚀 Language Model is finally speaking English :) Next: Vision Model
Quality of code 📉
The new Devin 👀 It’s nice demo, and I think the team worked incredibly hard. Kudos! However, I don’t think it’s a product for ML professionals, yet. ML is experimental in nature and the discoveries that matter don’t always come from just taking data and training. You could…
NEO’s score qualifies it as a Kaggle Grandmaster, effectively bringing world-class ML expertise to your fingertips. Neo is getting ready for early beta users. Join our waitlist here: heyneo.so/waitlist
Molmo port to MLX update 🔥🚀 Language Model is finally speaking English :) Next: Vision Model
😎
My prayers have been answered 🙏 I'm calling it now, Apple Silicon is going to be the best ecosystem for the future of AI and semi-autonomous agents
The best there is 🔥 I love the daily mail
🚀😎
🚀 Qwen2-VL-2B-Q4 + M1 Pro 🚀 1-2 weeks old setup: Prompt: 9.441 t/s Generation: 31.157 t/s Updated mlx to 0.20.0: Prompt: 14.268 t/s Generation: 36.463 t/s Switched mlx-vlm to main branch: Prompt: 13.025 t/s Generation: 73.516 t/s
All thanks to @awnihannun ❤️
🚀 MLX-VLM upcoming release performance gains for Qwen2-VL: M3 Max (96GB): • 8-bit: ⚡️ 20% faster • 4-bit: ⚡️ 33% faster M2 Ultra (192GB): • 4-bit: 🤯 64% faster inference Qwen2-VL is about to get seriously fast.
“Don’t try to find the best design in software architecture; instead, strive for the least worst combination of trade-offs.”
Cool! Who wants to run this model on MLX VLM?
Vision-language models (VLMs) are revolutionizing how we use Earth observation (EO) data, but none could reason over time—a critical need for applications like disaster relief—until now. Introducing TEOChat 🌍🤖, the first VLM for temporal EO data! arxiv.org/abs/2410.06234 1/8
Congratulations guys 🔥🚀 This is super awesome news!
We raised $8M and are thrilled to have @SalesforceVC @generalcatalyst @julien_c @amasad @pirroh and other industry leader angels join us as investors. We are hiring across all positions! Our thoughts and job application links here: argmaxinc.com/blog/seed
🚀
Wow, MLX is fast. I’ve been using Whisper locally, but using CPU 🫣 Switching to MLX, and it’s a night and day difference. BoltAI is going to get a lot faster.
Welcome back your Highness 👸🏽
👑Qwen2.5-Coder-32B-Instruct is currently ranked #1 on both Hugging Face Models @huggingface and Spaces @Gradio trending!
632 tokens/sec for 4bit quant 🔥🚀
Impressive: 468 tokens/sec running Florence-2 on Apple MLX at FP32 precision! 🚀 No quantization needed.
Impressive: 468 tokens/sec running Florence-2 on Apple MLX at FP32 precision! 🚀 No quantization needed.
Florence-2 is next level good! 🔥 On-device OCR will never be the same. Btw, I will be speaking about MLX at Data Science Summit in a couple weeks. Date: 22 of November 2024 Location: PGE Narodowy Stadium, Warsaw Poland 🇵🇱 20% Discount Code: DSS24SP20 See you there!
GPT-4o level pair programmer that runs locally on your Mac 🚀🔥 Time to ship 🚢
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