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EnricoShippole Profile picture
EnricoShippole
@EnricoShippole
Mar 8 • 30 tweets • 9 min read
@TeraflopAI is excited to help support the @caselawaccess and @HarvardLIL, in the release of over 6.6 million state and federal court decisions published throughout U.S. history. Image In collaboration with Ravel Law, @hlslib digitized over 40 million U.S. court decisions consisting of 6.7 million cases from the last 360 years into a dataset that is widely accessible to use. You can bulk download the data using the CAP API: case.law/caselaw/
Aug 31, 2023 • 18 tweets • 5 min read
Releasing Yarn-Llama-2-13b-128k, a Llama-2 model, trained for 128k context length using YaRN scaling. The model was trained in collaboration with u/bloc97 and @theemozilla of @NousResearch and @Void13950782 of @AiEleuther. Image The model can be found on @huggingface here: huggingface.co/conceptofmind/…
Jul 24, 2023 • 22 tweets • 5 min read
Releasing LLongMA-2 13b, a Llama-2 model, trained at 8k context length using linear positional interpolation scaling. The model was trained in collaboration with @theemozilla of @NousResearch and @kaiokendev1. Image The model can be found on @huggingface here: huggingface.co/conceptofmind/…
Jul 20, 2023 • 20 tweets • 5 min read
Releasing LLongMA-2, a suite of Llama-2 models, trained at 8k context length using linear positional interpolation scaling. The model was trained in collaboration with @theemozilla of @NousResearch and @kaiokendev1. huggingface.co/conceptofmind/… We worked directly with @kaiokendev1, to extend the context length of the Llama-2 7b model through fine-tuning. The models pass all our evaluations and maintain the same perplexity at 8k extrapolation surpassing the performance of other recent methodologies. Image
May 25, 2023 • 14 tweets • 6 min read
Introducing an open-source reproduction of the FLAN V2 dataset. huggingface.co/datasets/conce… I worked with @ShayneRedford the main author of the FLAN collection to recreate his great work and publicly release high-quality instruction tuning data. We fixed encoding issues and also increased the sequence length to 4096.
May 8, 2023 • 13 tweets • 7 min read
Introducing three new open-source PaLM models trained at a context length of 8k on C4. Open-sourcing LLMs is a necessity for the fair and equitable democratization of AI. The models of sizes 150m, 410m, and 1b are available to download and use here: github.com/conceptofmind/… The models are also compatible with many of Lucidrain's popular repositories such as Toolformer-pytorch, PaLM-rlhf-pytorch, and PaLM-pytorch. Please be sure to sponsor and help support Phil's great work: github.com/lucidrains/PaL…