🚀✨ Run CodeGen on CPUs with this detailed Colab notebook! 📝 Explore how to sparsify and perform Large Language Model (LLM) inference using Neural Magic's stack, featuring Salesforce/codegen-350M-mono as an example. Dive into these key steps: 1️⃣ **Installation**: Quickly set

🚀🚀 Hey, check out our blog on Hugging Face 🤗regarding running LLMs on CPUs! The blog discusses how researchers at IST Austria & Neural Magic have cracked the code for fine-tuning large language models. The method, combining sparse fine-tuning and distillation-type losses,

🚀🚀 Explore Sparsify's One-Shot Experiment Guide! Discover how to quickly optimize your models with post-training algorithms for a 3-5x speedup. Perfect for when you need to sparsify your model with limited time and improved inference speedups.🔥 **FYI, this is what I used to

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🌟First, want to thank everyone for pushing this model past 1,000 downloads in only a few days!! Additionally, I added bge-base models to MTEB. Most importantly, code snippets were added for running inference in the model cards for everyone to try out! huggingface.co/zeroshot/bge-s…

Exciting News! 🚀 DeepSparse is now integrated with LangChain , opening up a world of possibilities in Generative AI on CPUs. Langchain, known for its innovative design paradigms for large language model (LLM) applications, was often constrained by expensive APIs or cumbersome

I love the #ChatGPT Cheat Sheet by Ricky Costa (̷̨̨̛̛̲͎̣̞̘͈̯͚͂̈́̂̄̽̎́̽̔͑̄̏̽̏͒̾́̅̐̈́̾̎̆͆̽́͌̽̀̚̕̚̕͠͝͝) which includes 🔹NLP Tasks 🔹Code 🔹Structured Output Styles 🔹Unstructured Output Styles 🔹Media Types 🔹Meta ChatGPT 🔹Expert Prompting Get your hands on this amazing resource at:i.mtr.cool/ehyhxpfexx