Berat Çimen beratcmn

## merge_qlora_with_quantized_model.py
"""

The code below combines approaches published by both @eugene-yh and @jinyongyoo on Github.

Thanks for the contributions guys!

"""

import torch
import peft

## llama-home.md

      
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                How to run Llama 13B with a 6GB graphics card
              
          
    This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet.
It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.
It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.


## git-cleanup.sh
#!/usr/bin/env bash

rm -rf .git

git init
git add .
git commit -m "Initial commit"

git remote add origin <git origin url>
git push -u --force origin <branch>
	"""

	The code below combines approaches published by both @eugene-yh and @jinyongyoo on Github.

	Thanks for the contributions guys!

	"""

	import torch
	import peft
	#!/usr/bin/env bash

	rm -rf .git

	git init
	git add .
	git commit -m "Initial commit"

	git remote add origin <git origin url>
	git push -u --force origin <branch>