Flow BETA

Flow Card

GPT4ALL - A 7B Parameter Model

GPT4ALL - A 7B Parameter Model - Flow Card Image
Computer ScienceMachine Learning

About this opportunity

GPT4All - a 7B parameter model (based on LLaMA) trained on a massive collection of clean assistant data including code, stories, and dialogue. This preliminary technical report describes the development of GPT4All, a chatbot trained over a massive curated corpus of assistant interactions including word problems, story descriptions, multi-turn dialogue, and code. The collected data, data curation procedure, training code, and final model weights promote open research and reproducibility. Additionally, the release of quantized 4-bit versions of the model allows virtually anyone to run the model on a CPU.

Guided action

Is this worth acting on?

Ask Flow for a fast read on fit, details, trust, and next steps. If you want to apply or prepare, move into FlowApply and add evidence before drafting.

Prepare application Understand details Check fit Verify source Ask for help

The source/contact link is carried into Ask Flow or FlowApply so the session starts with context.

Ask if this fits meUnderstand, verify, decide Add evidence and actOpen FlowApply workspace
Related