H2O Open Ecosystem for State-of-the-art Large Language Models
Large Language Models (LLMs) represent a revolution in AI. However, they also
pose many significant risks, such as the presence of biased, private,
copyrighted or harmful text. For this reason we need open, transparent and safe
solutions. We introduce a complete open-source ecosystem for developing and
testing LLMs. The goal of this project is to boost open alternatives to
closed-source approaches. We release h2oGPT, a family of fine-tuned LLMs from 7
to 70 Billion parameters. We also introduce H2O LLM Studio, a framework and
no-code GUI designed for efficient fine-tuning, evaluation, and deployment of
LLMs using the most recent state-of-the-art techniques. Our code and models are
licensed under fully permissive Apache 2.0 licenses. We believe open-source
language models help to boost AI development and make it more accessible and
trustworthy. The demo is available at: https://gpt.h2o.ai/
6535d963b3852ed1ceeff1c6
Arno Candel
admin_assigned
2023-10-23T09:43:39.227Z
633f4bd5c11d723b1809dbf8
https://cdn-avatars.huggingface.co/v1/production/uploads/633f4bd5c11d723b1809dbf8/iFvJ7jYSo0heZMgrnInqo.jpeg
Arno Candel
user
arnocandel
6535d963b3852ed1ceeff1c7
Jon McKinney
6535d963b3852ed1ceeff1c8
Philipp Singer
admin_assigned
2023-10-23T09:43:55.251Z
636d18755aaed143cd6698ef
https://cdn-avatars.huggingface.co/v1/production/uploads/636d18755aaed143cd6698ef/AalDh13Gp8jv1BfM5IASh.png
Philipp Singer
user
psinger
6535d963b3852ed1ceeff1c9
Pascal Pfeiffer
admin_assigned
2023-10-23T09:44:12.973Z
6316fc44c92fd6fee3161e9a
https://cdn-avatars.huggingface.co/v1/production/uploads/1676417502037-6316fc44c92fd6fee3161e9a.png
Pascal Pfeiffer
user
ilu000
6535d963b3852ed1ceeff1ca
Maximilian Jeblick
admin_assigned
2023-10-23T09:44:20.328Z
614c9145b44c102499783617
https://cdn-avatars.huggingface.co/v1/production/uploads/1674725099569-614c9145b44c102499783617.jpeg
Maximilian Jeblick
user
MaxJeblick
6535d963b3852ed1ceeff1cb
Chun Ming Lee
admin_assigned
2023-10-23T09:44:27.144Z
623aa9d00351d42298c4e930
/avatars/137d5698d8bfac2d8a4175e892d7c206.svg
Chun Ming Lee
user
leecming
6535d963b3852ed1ceeff1cc
Marcos V. Conde
admin_assigned
2023-10-23T09:44:32.826Z
634169d1a7582111c3f46bae
https://cdn-avatars.huggingface.co/v1/production/uploads/634169d1a7582111c3f46bae/z5V5c1a7FRsRWnCFZbtUu.jpeg
Marcos V. Conde
user
marcosv
H2O Open Ecosystem for State-of-the-art Large Language Models
Large Language Models (LLMs) represent a revolution in AI. However, they also
pose many significant risks, such as the presence of biased, private,
copyrighted or harmful text. For this reason we need open, transparent and safe
solutions. We introduce a complete open-source ecosystem for developing and
testing LLMs. The goal of this project is to boost open alternatives to
closed-source approaches. We release h2oGPT, a family of fine-tuned LLMs from 7
to 70 Billion parameters. We also introduce H2O LLM Studio, a framework and
no-code GUI designed for efficient fine-tuning, evaluation, and deployment of
LLMs using the most recent state-of-the-art techniques. Our code and models are
licensed under fully permissive Apache 2.0 licenses. We believe open-source
language models help to boost AI development and make it more accessible and
trustworthy. The demo is available at: https://gpt.h2o.ai/
An open-source ecosystem is introduced for developing and testing Large Language Models (LLMs), including a family of fine-tuned models and a GUI for efficient use of state-of-the-art techniques.
Large Language Models LLMs fine-tuned parameter-efficient fine-tuning