Prince Canuma @Prince_Canuma
ML Engineer 👨🏾💻 • MLOps • LLMs • RAG • Speaker • Writer • Ex-@neptune_ai • https://t.co/iZnxoefJBU kulissiwa.com Wroclaw, Poland Joined July 2012-
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Not bad… I haven’t even announced it yet.
Prince Canuma retweeted
Up next on @huggingface! Coming to you this week: - New fine-tuned Llama-3-70B models - New fine-tuned Llamixtral-3 models (Mixture of Llama-3 in 24B and 47B) - New fine-tuned Qwen1.5-32B models
This is really cool 🔥
❤️
❤️
🚀 Don't miss out!
We finally have on mlx-vlm tests 🚀 Upcoming models: - Idefics 2 - Llava-Phi-Mini-3 - Qwen-VL github.com/Blaizzy/mlx-vl…
You know what time it is! Coming to MLX 🚀
A delicious Royal Whisky 🥃 Try it now! > pip install -U mlx-lm mlx-vlm
A delicious Royal Whisky 🥃 Try it now! > pip install -U mlx-lm mlx-vlm
Now this is getting out of hand 🤣🙌🏾
Now this is getting out of hand 🤣🙌🏾
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@Prince_Canuma @antranapp @YuxiangWei9 You never sleep 🤣
@awnihannun @Prince_Canuma I want to convert some LLM models to mlx swift but I have no ideas how to do it. Is there any tutorial or quick learning path showing me how to do the conversion? Happy to contribute to mlx-swift as much as possible after my learning 😛
@Prince_Canuma Can't wait to see that Always appreciate your works! Canuma! 💪💪
Wow llava with llama3 and phi-3 is really good! Llava 1.5 was good for multilingual before without finetune but, new models are much better i think.
@samuel_colvin and random, not previously defined variable names and ellipses in place of important info and unused code | variables and links to colabs that don’t work
1M context length Llama-3 8B Model. Enough said. Up on HF @ClementDelangue cc: @winglian @mattshumer_
We've been in the kitchen cooking 🔥 Excited to release the first @AIatMeta LLama-3 8B with a context length of over 1M on @huggingface - coming off of the 160K context length model we released on Friday! A huge thank you to @CrusoeEnergy for sponsoring the compute and let us…
@awnihannun @Prince_Canuma 231 tok/sec M2Pro 32GB. Learning a lot about Einstein btw 😂
Who's pushing LLMs to Prod? I want to talk to you 'on-air' ? Tag if you know anyone!
Up next on @huggingface! Coming to you this week: - New fine-tuned Llama-3-70B models - New fine-tuned Llamixtral-3 models (Mixture of Llama-3 in 24B and 47B) - New fine-tuned Qwen1.5-32B models
Here is LaMoE-Medium, an a followup to my first llama MoE. It is much stronger in reasoning tasks, creative writing, code generation, and function calling. Enjoy. Thank you @CrusoeEnergy for sponsoring the compute. And as always, @erhartford and @FernandoNetoAi.
Collection of Llama-3 based VLMs: huggingface.co/collections/xt… Collection of Phi-3 based VLMs: huggingface.co/collections/xt…
Sam Altman once said "you can't compete with us" Look where it's now!
@WholeMarsBlog Tesla will spend around $10B this year in combined training and inference AI, the latter being primarily in car. Any company not spending at this level, and doing so efficiently, cannot compete.
I'm on a long weekend holidays. I want to start shipping some of the MLX models and ideas to Apple products. Will 3 days be enough to learn Swift and SwiftUI?🤗
@Prince_Canuma @SOSOHAJALAB @awnihannun 🚀🚀🚀 fast ahead at full speed!
@ivanfioravanti @Prince_Canuma @awnihannun I think qdora is just beginning..! Not implemented to others yet! But new method is always good to know right?! :) 🤗
@Prince_Canuma @awnihannun Please get some rest canuma! 👍
💖 I'm sponsoring OpenAccess-AI-Collective because… github.com/sponsors/OpenA… Small donate but, hopefully helpful to @winglian Love axolotl ❤️
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