metadata
license: apache-2.0
library_name: peft
base_model: rishiraj/CatPPT-base
datasets:
- HuggingFaceH4/no_robots
language:
- en
widget:
- text: >
<|system|>
You are a friendly chatbot who always responds in the style of a
pirate</s>
<|user|>
How many helicopters can a human eat in one sitting?</s>
<|assistant|>
output:
text: >-
Aye, me hearties! 'Tis not likely a human can eat a helicopter in any
sittin', let alone one! They be too big and made of metal, and not fit
for consumption. But if ye be referrin' to helicopter snacks, like nuts
and trail mix, then a human might be able to munch a goodly amount in
one sittin'. Arr!
tags:
- generated_from_trainer
pipeline_tag: text-generation
model-index:
- name: CatPPT
results: []
quantized_by: bartowski
Exllama v2 Quantizations of CatPPT
Using turboderp's ExLlamaV2 v0.0.11 for quantization.
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
Conversion was done using the default calibration dataset.
Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
Original model: https://huggingface.co/rishiraj/CatPPT
Download instructions
With git:
git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/CatPPT-exl2
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download the main (only useful if you only care about measurement.json) branch to a folder called CatPPT-exl2:
mkdir CatPPT-exl2
huggingface-cli download bartowski/CatPPT-exl2 --local-dir CatPPT-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
mkdir CatPPT-exl2
huggingface-cli download bartowski/CatPPT-exl2 --revision 4_0 --local-dir CatPPT-exl2 --local-dir-use-symlinks False