DeepLearning.Hub @DLdotHub
Open-source software/tools/datasets, news, research et al. regarding #machinelearning and #datascience, with a focus on #deeplearning. Global Joined February 2012-
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I've just released llamafile v0.8 which features LLaMA3, Mixtral 8x22b, and Grok support. It goes 25x faster than ollama at running LLaMA3 70B on CPU. My new tensor multiplication kernels let llamafile eval MoE models 2x faster than llama.cpp github.com/Mozilla-Ocho/l…
First open LLM from @SnowflakeDB! Arctic is 480B Dense-MoE with a 10B dense transformer model and a 128x3.66B MoE MLP designed specifically for enterprise AI. 🤔 TL;DR: 🧠 480B parameters with 17B active during generation 👨🏫 128 experts with 2 active in generation 2️⃣ Instruct…
ollama run phi3 ollama.com/library/phi3
Phi-3 Mini 3.8b Instruct is out!! 68.8 MMLU vs Llama-3 8b Instruct's 66.0 MMLU (Phi team's own evals) The long context 128K model is also out at huggingface.co/microsoft/Phi-… Working on adding this into @UnslothAI! Some fused linear modules need unfusing :) huggingface.co/microsoft/Phi-…
Wow! Phi 3 is wicked - GPU Poor ftw 🔥 Here's what we know so far: Highlights > 3.8B parameter model (also ran experiments on 7B and 14B) > Trained on 3.3 Trillion tokens (4.8T for larger variants) > 3.8B is competitive with Mixtral8x7B & GPT 3.5 > 69% on MMLU and 8.38 on…
Today at @answerdotai we've got something new for you: FSDP/QDoRA. We've tested it with @AIatMeta Llama3 and the results blow away anything we've seen before. I believe that this combination is likely to create better task-specific models than anything else at any cost. 🧵
This is the best tutorial I've seen for fully understanding and implementing Transformers models. It includes a complete working implementation from scratch of all the key pieces, written in a way to make learning and understanding as easy as possible.
This is the best tutorial I've seen for fully understanding and implementing Transformers models. It includes a complete working implementation from scratch of all the key pieces, written in a way to make learning and understanding as easy as possible.
🆕 Introducing JAT, the first open-source multi-modal, multi-task multi-domain agent! 🤖 A step toward open generalist agents! 🚀 📰 Blog: huggingface.co/blog/jat
We have just released 🍷 FineWeb: 15 trillion tokens of high quality web data. We filtered and deduplicated all CommonCrawl between 2013 and 2024. Models trained on FineWeb outperform RefinedWeb, C4, DolmaV1.6, The Pile and SlimPajama!
This video is a first look at Lingo-2, an AI simultaneously chatting and autonomously driving through busy central London. This is not a LLM strapped to our driving AI, rather an AI model jointly trained on vision, language and action. 💬🚗
This video is a first look at Lingo-2, an AI simultaneously chatting and autonomously driving through busy central London. This is not a LLM strapped to our driving AI, rather an AI model jointly trained on vision, language and action. 💬🚗
Posting this again as it got a fair bit of interest last time 😜 It’s an AI + Forms experiment I made 🤖 You give it an image of a document form and it generates a web version
This video from @UmerHAdil is *the* best resource I've seen for learning OpenAI Triton -- and one of the best deep tech tutorials of any kind I've seen. youtube.com/watch?v=DdTsX6…
Excited to share Penzai, a JAX research toolkit from @GoogleDeepMind for building, editing, and visualizing neural networks! Penzai makes it easy to see model internals and lets you inject custom logic anywhere. Check it out on GitHub: github.com/google-deepmin…
@giffmana Here you go!
.@Meta Llama 3 - The most capable openly available LLM to date! ollama run llama3 ollama.com/library/llama3 If you have pull the llama 3 model prior to this post, please update the model using `ollama pull`.
Made a Colab for Llama-3 8B! 15 trillion tokens! So @UnslothAI now supports it! Uses free T4 GPUs. Doing benchmarking, but ~2x faster and uses 80% less memory than HF+FA2! Supports 4x longer context lengths than HF+FA2. & inference is natively 2x faster. colab.research.google.com/drive/135ced7o…
Llama 3 released! 🚨🔔@AIatMeta just released their best open LLM! 👑🚀 Llama 3 is the next iteration of Llama with a ~10% relative improvement to its predecessor! 🤯 Llama 3 comes in 2 different sizes 8B and 70B with a new extended tokenizer and commercially permissive license!…
🎊 Native function calling on @MistralAI's Mixtral 8x22B model is so cool! No JSON mode was required. Open-source models are getting really smart! In this video, we provided the function to the model, and prompted it. It gave back the correct function name and arguments. 🤯…
Links to find all the hardware/software we used in the demo: - robot control framework – dora-rs: github.com/dora-rs/dora - speech-to-text model – whisper: huggingface.co/openai/whisper… - vision-text model – Idefics2: huggingface.co/HuggingFaceM4/… - text-to-speech model – ParlerTTS mini:…
Links to find all the hardware/software we used in the demo: - robot control framework – dora-rs: github.com/dora-rs/dora - speech-to-text model – whisper: huggingface.co/openai/whisper… - vision-text model – Idefics2: huggingface.co/HuggingFaceM4/… - text-to-speech model – ParlerTTS mini:…
Alongside our Mixtral 8x22B release, we are releasing our tokenizers, which go beyond the usual text <-> tokens, adding parsing of tools and structured conversation. Repo: github.com/mistralai/mist… Guide: docs.mistral.ai/guides/tokeniz…
Jeremy Howard @jeremyphoward
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379K Followers 77 Following Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation
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Ian Maurer 🧬🤖�.. @imaurer
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Canonical is pleased to announce the release of Ubuntu 24.04 LTS, codenamed “Noble Numbat”, available to download and install from ubuntu.com/download. Ubuntu 24.04 LTS builds on the advancements of the last three interim releases as well as the contributions of open source…
Ubuntu 24.04 LTS #NobleNumbat is now available to download and install. ubuntu.com/blog/canonical…
Ubuntu 24.04 LTS #NobleNumbat is now available to download and install. ubuntu.com/blog/canonical…
I've just released llamafile v0.8 which features LLaMA3, Mixtral 8x22b, and Grok support. It goes 25x faster than ollama at running LLaMA3 70B on CPU. My new tensor multiplication kernels let llamafile eval MoE models 2x faster than llama.cpp github.com/Mozilla-Ocho/l…
Long-context Llama 3 finetuning is here! 🦙 Unsloth supports 48K context lengths for Llama-3 70b on a 80GB GPU - 6x longer than HF+FA2 QLoRA finetuning Llama-3 70b is 1.8x faster, uses 68% less VRAM & Llama-3 8b is 2x faster and fits in a 8GB GPU! Blog: unsloth.ai/blog/llama3
Phi 3 (3.8B) got released! The paper said it was just a Llama arch, but I found some quirks while adding this to @UnslothAI: 1. Sliding window of 2047? Mistral v1 4096. So does Phi mini have SWA? (And odd num?) Max RoPE position is 4096? 2. Upcasted RoPE? Like Gemma? 3. Dynamic…
@Thom_Wolf The 3 key elements of a good dataset: 1. quality 2. diversity 3. quantity You can only easily measure the last one but the performance is a sensitive function of all three. Super interesting topic ty for #longread :)!
nice work on Phi-3 @SebastienBubeck and team :-) results look really impressive.
phi-3 is here, and it's ... good :-). I made a quick short demo to give you a feel of what phi-3-mini (3.8B) can do. Stay tuned for the open weights release and more announcements tomorrow morning! (And ofc this wouldn't be complete without the usual table of benchmarks!)
2024 is the year of small models. GPT-3.5 level on your phone thanks to Phi-3 MIT license just released on @huggingface by @MicrosoftAI!
Phi-3 Mini 3.8b Instruct is out!! 68.8 MMLU vs Llama-3 8b Instruct's 66.0 MMLU (Phi team's own evals) The long context 128K model is also out at huggingface.co/microsoft/Phi-… Working on adding this into @UnslothAI! Some fused linear modules need unfusing :) huggingface.co/microsoft/Phi-…
@Ahmad_Al_Dahle also, Llama3-70B is #1 on English-only, whut!!!!
@jeremyphoward @AartBik Stay tuned: not long now… good things can’t be rushed!
Introducing Meta Llama 3: the most capable openly available LLM to date. Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes. Today's release includes the first two Llama 3…
Been playing around a little bit with @rerundotio recently and pleased with how quickly I could make a decent robotics dashboard 😁 Next step is loading URDF data 🦾
Posting this again as it got a fair bit of interest last time 😜 It’s an AI + Forms experiment I made 🤖 You give it an image of a document form and it generates a web version
🔥llm.c update: Our single file of 2,000 ~clean lines of C/CUDA code now trains GPT-2 (124M) on GPU at speeds ~matching PyTorch (fp32, no flash attention) github.com/karpathy/llm.c… On my A100 I'm seeing 78ms/iter for llm.c and 80ms/iter for PyTorch. Keeping in mind this is fp32,…
Highly recommend @kaggle! You get Tesla T4 GPUs I think 12 hour runs, and 30 hours for free per week! I also have a @UnslothAI Kaggle notebook for Llama-3 8B which makes finetuning 2x faster and use 60% less VRAM! Kaggle notebook: kaggle.com/code/danielhan…
Llama 3 is now available on @kaggle 🦙 congrats to the Meta team on such an impressive launch! kaggle.com/models/metares…
While I was eagerly awaiting the technical report/paper accompanying the Llama 3 release yesterday, I stumbled upon another very interesting research paper this week, which finally answers one of my pressing questions: "Is DPO Superior to PPO for LLM Alignment?" RLHF is one of…
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