nmitchko

For each step in the article:

1. You should really download the huggingface hosted model.

2. Why convert the model if meta already hosts it here: https://huggingface.co/meta-llama

3. This step completely glossed over the hardware requirements. Doesn't explain any of the instructions needed in the finetuning process.

4. "Now run the model". What? What about the model precision, hosting, standard open source tools, etc,etc...

This is a pretty useless post. You could also follow the same 1000x tutorials about llama and use the already uploaded hugging face formats that are on hugging face...

Here are some actually useful links

https://blog.ovhcloud.com/fine-tuning-llama-2-models-using-a...

https://huggingface.co/meta-llama/Llama-2-70b-hf

https://huggingface.co/meta-llama/Llama-2-7b-hf

Interesting that we ignore the physical environment as a contributing factor in IQ, growth, and development. For example:

* Iodine supplementation during early life (a few weeks) increases IQ * Organophosphate exposure increases autism (also why people who live near airports have higher incidence of cancer) * Phalates and non-sticks reduce male reproductive organ size * Music lessons in children increases IQ. * L-arginine during childhood increases height and free growth hormone

https://link.springer.com/article/10.1007/s11154-022-09760-7 https://www.sciencedirect.com/science/article/abs/pii/S01602... https://www.researchgate.net/publication/237236129_The_Plane...

If it ain't broke don't fix it.

You can split the model across devices with huggingface accelerate library.

Check out the infer_auto_memory_map metho which will optimize the model for your configuration (multi gpu, ram, nvme) and then run dispatch model on with that memory map.

Your understanding is correct, but I can't vouch for the claim's accuracy. This could make the execution of models much more accessible to people who don't have a 4x / RTX3090 or better in a ML or mining rig ..

As I read through this, I remind myself, there are some people that are so smart and in-depth within their field, that I have zero idea what any of the concepts they discuss are.

When I saw the title I thought the latest in security was 12 factor authentication!

This sheds a light on some bad practices around all ski areas:

* J1 / E5 visa abuse to skirt labor and wage laws and get cheap investments

* Overselling / abusive terms of carriage for lifts

* Overpricing basic food and services, assigning abusive police-style regulators on slopes (looking at you vail)

So at the end of the day, we have to take a look and think: should lifting skiers up a mountain on a chairlift really be worth billions of dollars in market cap? Should mountains, who are almost 90% public land (in the USA), even be businesses?

Time to investigate WASM-security holes for a next generation security firm

You might be underestimating the number of people who would return to the workforce for jobs like this.

Simply, these features have a legal standard to uphold and the software vendor may be liable for these features misbehaving.

For example, your healthcare software incorrectly exposes Patient Health Information (PHI) due to a bug in your RBAC. You don't just ship a patch that fixes this, you are liable for the PHI exposure up to $150k per PHI exposure...

How do you prevent this? You charge more for these features and use that money to purchase liability insurance.