Baldur’s Gate 3 from Larian Studios has exploded out of early access into full launch like an enraged dwarf through a bar door, and we are loving this game! With over 1 million mod downloads since launch (4 days ago), it’s clear the game is already a community favourite on Nexus ...
We have used the recent SFTTrainer from TRL library, and the benchmarking script can be found here Playground Try out the Guananco model cited on the paper on the playground or directly below Acknowledgements The HF team would like to acknowledge all the people ...
We used 4bit quantized base models and the QLoRA method, as well as the recent SFTTrainer from the TRL library.The full script to reproduce our experiments using PEFT is available here, but only a few lines of code are required to quickly run the SFTTrainer (without PEFT for s...
Remove references to GaudiConfig, gaudi_config and HabanaDataloaderTrainer Import set_seed directly from Transformers: from transformers import set_seedThe results displayed in this benchmark were obtained with a Nvidia H100 Lambda instance and a Nvidia A100 80GB GCP instance both with 8...
we expect the labels to **not be passed directly, and for users to get the logits back from the model and use them to compute the loss outside of the model.** + +However, the transformers Trainer, as well as many Trainers, heavily leverage these methods because of the simplicity ...
You can now use the IPUTrainer class available in Optimum to leverage the entire Graphcore software and hardware stack, and train your models in IPUs with minimal code changes. Thanks to Optimum, you can plug-and-play state of the art hardware to train your state of...
Inference with models trained with the techniques above should work the same as with any trainer, except that, when we do pivotal tuning, besides the *.safetensors weights of your LoRA, there is also the *.safetensors text embeddings trained with the model for ...
The 🤗 Trainer will do much of the heavy lifting for us. All we have to do is: Load a pre-trained checkpoint: we need to load a pre-trained checkpoint and configure it correctly for training. Define a data collator: the data collator takes our pre-processed data a...
In this section, we’ll look at the tools available in the Hugging Face ecosystem to efficiently train Llama 3 on consumer-size GPUs. Below is an example command to fine-tune Llama 3 on the No Robots dataset. We use 4-bit quantization, and QLoRA and TRL’s SFTTrainer will...
We have used the recent SFTTrainer from TRL library, and the benchmarking script can be found herePlaygroundTry out the Guananco model cited on the paper on the playground or directly below AcknowledgementsThe HF team would like to acknowledge all the people invo...