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Text-to-LoRA: Hypernetwork that generates task-specific LLM adapters (LoRAs)

https://github.com/SakanaAI/text-to-lora
135•dvrp•8mo ago

Comments

vessenes•7mo ago
Sounds like a good candidate for an mcp tool!
gdiamos•7mo ago
An alternative to prefix caching?
phildini•7mo ago
I got very briefly excited that this might be a new application layer on top of meshtastic.
robertlagrant•7mo ago
Yes! I don't know what LoRA is, but I know what it isn't.
jph00•7mo ago
The paper link on that site doesn't work -- here's a working link:

https://arxiv.org/abs/2506.06105

npollock•7mo ago
LoRA adapters modify the model's internal weights
make3•7mo ago
not unless they're explicitly merged, which is not a requirement but a small speed only thing
_ea1k•7mo ago
Yeah, I honestly think some of the language used with LoRA gets in the way of people understanding them. It becomes much easier to understand when looking at an actual implementation, as well as how they can be merged or kept separate.
watkinss•7mo ago
Interesting work to adapt LoRa adapters. Similar idea applied to VLMs: https://arxiv.org/abs/2412.16777
smcleod•7mo ago
Out of interest, why does it depend on or at least recommend such an old version of Python? (3.10)
electroglyph•7mo ago
from pyproject.toml: requires-python = ">= 3.10"

I still see quite a few people in the ML world using 3.10 as their default...probably just habit, but a closer look at the dependencies might answer your question better.

smcleod•7mo ago
Ah well that's not as bad I guess, I saw in their readme they're recommending people use 3.10, which when I see it is often a bit of a red flag that the project in question may not be well maintained, but I agree I do see quite a few ML repos still noting the use of 3.10 to this day.
porridgeraisin•7mo ago
Mostly whatever the earliest version pytorch supports. While 3.9 is supported until the end of this year, torch wheels and other wheels in the ecosystem were always troublesome in 3.9. So 3.10 it is.

3.9 would have been the preferred version if not for those issues, simply because it is the default on MacOS.

smcleod•7mo ago
Yikes those a both very old. Python pre 3.12 had some serious performance issues. You should be aiming to run the current stable version which will contain any number of stability and interoperability fixes. The bundled OS python versions are often far behind and better suited to running the basic tools rather than being used for every application or script that you run where ideally you'd use a python version manager and isolated virtual environment.
porridgeraisin•7mo ago
ML folks don't care (yes yes I'm generalizing...); They will upgrade whenever torch or one of their other favourite libraries tells them to.
etaioinshrdlu•7mo ago
What is such a thing good for?
kixiQu•7mo ago
Can someone explain why this would be more effective than a system prompt? (Or just point me to it being tested out against that, I supposed)

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