161–170 of 194 posts
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data transfer might actually be the problem there not something like trying to hide the model
bittorrent, come on
Someone lay out the reason they should package the weights with this, when they're allowing you to apply your own ?
This repo isn't what you think it is.
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bittorrent, come on
context `come on`, what is the point in sharing the weights ? Someone lay out the reason they should package the weights with this, when they're allowing you to apply your own ? This repo isn't what you think it is.
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It's quite clearly a reference to WALL-E the environmentally conscious robot, which is pronounced as you'd expect. I like to think of it as DALL-E the surrealist robot painter.
I totally failed to make that connection! Was that the intended reference? What's the link to WALL-E?
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Thought the same until I read this: > Contact us at hello-dolly@databricks.com if you would like to get access to the trained weights.
https://github.com/databrickslabs/dolly it’s now available on GitHub
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The 3 hours is the instruction fine-tuning. The base foundational model is GPT-J which was already provided by Eleuther-AI and has been around for a couple of years. Note: I work at Databricks and am familiar with this project but didn't work on it.
Do you know why GPT-J is being used instead of NeoX or any of the other larger open source models?
This is really great news and something I felt was missing from the market so far. It seems everyone wants to create `moats` or walled-gardens with some aspect of their models etc. Nice job DataBricks, nice numbers too. Looking forward to more improvements.
Thought the same until I read this: > Contact us at hello-dolly@databricks.com if you would like to get access to the trained weights.