![]() "The Sopranos" - This HBO series is a crime drama that explores the life of a New Jersey mob boss, Tony Soprano, as he navigates the criminal underworld and deals with personal and family issues.Ģ. Of course! If you enjoyed "Breaking Bad" and "Band of Brothers," here are some other TV shows you might enjoy:ġ. Do you have any recommendations of other shows I might like? Result: I liked "Breaking Bad" and "Band of Brothers". ![]() Do you have any recommendations of other shows I might like?\n', 'I liked "Breaking Bad" and "Band of Brothers". It runs on the free tier of Colab, as long as you select a GPU runtime. In the following code snippet, we show how to run inference with transformers. Make sure to be using the latest transformers release and be logged into your Hugging Face account. mechanisms to export the models to deploy.utilities and helpers to run generation with the model.integrations with tools such as bitsandbytes (4-bit quantization) and PEFT (parameter efficient fine-tuning).training and inference scripts and examples.With transformers release 4.31, one can already use Llama 2 and leverage all the tools within the HF ecosystem, such as: Users are provided access to the repository once both forms are filled after few hours. ![]() Note: Make sure to also fill the official Meta form. Before using these models, make sure you have requested access to one of the models in the official Meta Llama 2 repositories. In this section, we’ll go through different approaches to running inference of the Llama2 models. Under the hood, this playground uses Hugging Face's Text Generation Inference, the same technology that powers HuggingChat, and which we'll share more in the following sections. You can easily try the Big Llama 2 Model (70 billion parameters!) in this Space or in the playground embedded below: This table will be updated with the results. ![]() *we’re currently running evaluation of the Llama 2 70B (non chatty version). If you’ve been waiting for an open alternative to closed-source chatbots, Llama 2-Chat is likely your best choice today! Image from Llama 2: Open Foundation and Fine-Tuned Chat Models Across a wide range of helpfulness and safety benchmarks, the Llama 2-Chat models perform better than most open models and achieve comparable performance to ChatGPT according to human evaluations. However, the most exciting part of this release is the fine-tuned models (Llama 2-Chat), which have been optimized for dialogue applications using Reinforcement Learning from Human Feedback (RLHF). The pretrained models come with significant improvements over the Llama 1 models, including being trained on 40% more tokens, having a much longer context length (4k tokens □), and using grouped-query attention for fast inference of the 70B model□! The Llama 2 release introduces a family of pretrained and fine-tuned LLMs, ranging in scale from 7B to 70B parameters (7B, 13B, 70B). Integration with Text Generation Inference for fast and efficient production-ready inference.Examples to fine-tune the small variants of the model with a single GPU.Models on the Hub with their model cards and license.Among the features and integrations being released, we have: You can find the 12 open-access models (3 base models & 3 fine-tuned ones with the original Meta checkpoints, plus their corresponding transformers models) on the Hub. We’ve collaborated with Meta to ensure smooth integration into the Hugging Face ecosystem. The code, pretrained models, and fine-tuned models are all being released today □ Llama 2 is being released with a very permissive community license and is available for commercial use. Llama 2 is a family of state-of-the-art open-access large language models released by Meta today, and we’re excited to fully support the launch with comprehensive integration in Hugging Face.
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