I can’t recall having issues with it when using PyTorch. I still use conda (I just pop install PyTorch), so I could do ‘conda install cuda-nvcc-tools’ I guess
OPEN SOURCE
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Open Source AI Breakthrough: Qwen 2.5 Coder and LLM2CLIP Released
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What a brilliant week for Open Source AI! Qwen 2.5 Coder by @Alibaba_Qwen – 0.5B / 1.5B / 3B / 7B / 14B/ 32B (Base + Instruct) Code generation LLMs, with 32B tackling giants like Gemnini 1.5 Pro, Claude Sonnet LLM2CLIP from @MSFTResearch – Leverage LLMs to train ultra-powerful
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Base Dataset Tag Feature Request for Dataset Management
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I'd like to be able to have a "base_dataset" tag that works like "base_model". For example, this cleaned version https://
huggingface.co/datasets/mlabo
nne/orca-agentinstruct-1M-v1-cleaned
… should redirect to the original one. -
Essential Books for Building Strong Data Science Foundations
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Books To Build Strong Foundations! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Strong-Foundat
ion
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Open Source Biomolecular Model Matches AlphaFold3 Performance
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that's a fully open source, commercially permissive biomolecular interaction model performing at the same level as AlphaFold3
— Vaibhav (VB) Srivastav (@reach_vb) 17 novembre 2024
open/ acc https://t.co/Rd16rIQFibthat's a fully open source, commercially permissive biomolecular interaction model performing at the same level as AlphaFold3 open/ acc
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Boltz-1: Open-Source Model Matches AlphaFold3 Accuracy
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Boltz-1, the first open-source and commercially available model to achieve AlphaFold3-level accuracy on biomolecular structure prediction.
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Model weights release and Hub distribution discussion
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Wow! Congratulations on the release, it'd be great to have the weights under an official org on the Hub too. I uploaded the weights under a community org for now, happy to add you there/ transfer the weights to you, let me know – congrats again on the brilliant work.
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Unified Jinja Chat Templates for LLMs and llama.cpp
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100% – I think a basic jinja implementation would be quite helpful. I do think a world where we have unified chat templates across transformers, llama.cpp, etc would be quite headache free 😀 There is an abandoned PR adding that in llama.cpp btw https://
github.com/ggerganov/llam
a.cpp/pull/9639
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