base_model: qblocks/zephyr_7b_norobots
datasets:
- HuggingFaceH4/no_robots
inference: false
library_name: peft
license: apache-2.0
model_creator: MonsterAPI
model_name: Zephyr 7B Norobots
model_type: mistral
prompt_template: |
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
tags:
- code
- instruct
- zephyr
Prompt Structure
<|system|> <|endoftext|> <|user|> [USER PROMPT]<|endoftext|> <|assistant|> [ASSISTANT ANSWER] <|endoftext|>
Train loss :
quantized_by: bartowski
pipeline_tag: text-generation
Exllama v2 Quantizations of zephyr_7b_norobots
Using turboderp's ExLlamaV2 v0.0.8 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 wikitext-103-raw-v1-test.parquet as 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/TheBloke/zephyr_7b_norobots-fp16
Download instructions
With git:
git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/zephyr_7b_norobots-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 zephyr_7b_norobots-exl2:
mkdir zephyr_7b_norobots-exl2
huggingface-cli download bartowski/zephyr_7b_norobots-exl2 --local-dir zephyr_7b_norobots-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
mkdir zephyr_7b_norobots-exl2
huggingface-cli download bartowski/zephyr_7b_norobots-exl2 --revision 4_0 --local-dir zephyr_7b_norobots-exl2 --local-dir-use-symlinks False