README.md

---
license: other
tags:
- math
- alpaca
- synthetic data
- instruct
- axolotl
- finetune
- gpt4
datasets:
- TIGER-Lab/MathInstruct
- microsoft/orca-math-word-problems-200k
language:
- en
base_model: meta-math/MetaMath-Mistral-7B
quantized_by: bartowski
pipeline_tag: text-generation
---

## Exllama v2 Quantizations of EulerMath-Mistral-7B

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.

<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>

Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.

Original model: https://huggingface.co/Weyaxi/EulerMath-Mistral-7B

## Prompt format

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{instruction}

### Response:

```

## Available sizes


| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
| [8_0](https://huggingface.co/bartowski/EulerMath-Mistral-7B-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| [6_5](https://huggingface.co/bartowski/EulerMath-Mistral-7B-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
| [5_0](https://huggingface.co/bartowski/EulerMath-Mistral-7B-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| [4_25](https://huggingface.co/bartowski/EulerMath-Mistral-7B-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| [3_5](https://huggingface.co/bartowski/EulerMath-Mistral-7B-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |

## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/EulerMath-Mistral-7B-exl2 EulerMath-Mistral-7B-exl2-6_5
```

With huggingface hub (credit to TheBloke for instructions):

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

To download the `main` (only useful if you only care about measurement.json) branch to a folder called `EulerMath-Mistral-7B-exl2`:

```shell
mkdir EulerMath-Mistral-7B-exl2
huggingface-cli download bartowski/EulerMath-Mistral-7B-exl2 --local-dir EulerMath-Mistral-7B-exl2 --local-dir-use-symlinks False
```

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

Linux:

```shell
mkdir EulerMath-Mistral-7B-exl2-6_5
huggingface-cli download bartowski/EulerMath-Mistral-7B-exl2 --revision 6_5 --local-dir EulerMath-Mistral-7B-exl2-6_5 --local-dir-use-symlinks False
```

Windows (which apparently doesn't like _ in folders sometimes?):

```shell
mkdir EulerMath-Mistral-7B-exl2-6.5
huggingface-cli download bartowski/EulerMath-Mistral-7B-exl2 --revision 6_5 --local-dir EulerMath-Mistral-7B-exl2-6.5 --local-dir-use-symlinks False
```

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski