this post was submitted on 24 Jul 2024
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Technically correct (tm)
Before you get your hopes up: Anyone can download it, but very few will be able to actually run it.
What’s the resources requirements for the 405B model? I did some digging but couldn’t find any documentation during my cursory search.
Typically you need about 1GB graphics RAM for each billion parameters (i.e. one byte per parameter). This is a 405B parameter model. Ouch.
Edit: you can try quantizing it. This reduces the amount of memory required per parameter to 4 bits, 2 bits or even 1 bit. As you reduce the size, the performance of the model can suffer. So in the extreme case you might be able to run this in under 64GB of graphics RAM.
When the 8 bit quants hit, you could probably lease a 128GB system on runpod.