Save bandwidth by using a torrent to distribute more efficiently #73
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Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Meta Open Source project. Thanks! |
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Good catch! This will save millions in bandwidth costs. |
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my fucking sides |
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i love the internet |
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Big if true. |
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At this point Meta should publish the original checksums so that we know if it's the real model. It appears that PyTorch models can execute arbitrary code, so this might as well be a clever attack.. |
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Could've helped with.. uh.. reducing bandwidth, but don't have enough space for the entire model, anyone else distributing the load? |
Just convert them to safetensors on a VM or cloud computer. |
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I kneel |
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the magnet link is broken. update your pull request pls |
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I can't sneed |
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LGTM |
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LGTM! |
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14 May 2023 Paz, saat 22:20 tarihinde Adrian Flutur <
***@***.***> şunu yazdı:
… LGTM!
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I love the fucking Internet! |
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You really should just use one of the forked and modified models. They are
much improved over these, as you can see by the lack of seeders. Check out
https://old.reddit.com/r/LocalLLaMA/, which is dedicated to running these
models.
…On Thu, May 25, 2023 at 8:12 PM wenger9 ***@***.***> wrote:
***@***.**** commented on this pull request.
------------------------------
In README.md
<#73 (comment)>
:
> @@ -1,7 +1,7 @@
# LLaMA
This repository is intended as a minimal, hackable and readable example to load [LLaMA](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) ([arXiv](https://arxiv.org/abs/2302.13971v1)) models and run inference.
-In order to download the checkpoints and tokenizer, fill this [google form](https://forms.gle/jk851eBVbX1m5TAv5)
+In order to download the checkpoints and tokenizer, fill this [google form](https://forms.gle/jk851eBVbX1m5TAv5) or if you want to save our bandwidth use this BitTorrent link: "[magnet:?xt=urn:btih:ZXXDAUWYLRUXXBHUYEMS6Q5CE5WA3LVA&dn=LLaMA](magnet:?xt=urn:btih:ZXXDAUWYLRUXXBHUYEMS6Q5CE5WA3LVA&dn=LLaMA)".
### Setup
Downloading the Llama 7B, taking forever...
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danke for mah bandwidth 👍 |
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LGTM |
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LGTM |
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LGTM |
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Found a magnet link for V2
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Big if true for me |
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how are there still people commenting...? move on, lol. |
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genius |
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LGTM |
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