---
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

  '
quantized_by: TheBloke
tags:
- code
- instruct
- zephyr
---
---
#### Prompt Structure
```
<|system|> <|endoftext|> <|user|> [USER PROMPT]<|endoftext|> <|assistant|> [ASSISTANT ANSWER] <|endoftext|>
```
#### Train loss :

![training loss](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/EYUTlcPFz-2nXzNj5_gsW.png)
quantized_by: bartowski
---

# Exllama v2 Quantizations of zephyr_7b_norobots at 6.0 bits per weight

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.8">turboderp's ExLlamaV2 v0.0.8</a> for quantization.

Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.

Original model: https://huggingface.co/TheBloke/zephyr_7b_norobots-fp16

## Download instructions

With git:

```shell
git clone --single-branch --branch 6.0 https://huggingface.co/bartowski/zephyr_7b_norobots-exl2
```

With huggingface hub (credit to TheBloke for instructions):

```shell
pip3 install huggingface-hub
```

To download from a different branch, add the `--revision` parameter:

```shell
mkdir zephyr_7b_norobots-exl2
huggingface-cli download bartowski/zephyr_7b_norobots-exl2 --revision 6_0 --local-dir zephyr_7b_norobots-exl2 --local-dir-use-symlinks False
```