---
license: cc-by-nc-4.0
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
base_model:
- mlabonne/AlphaMonarch-7B
- beowolx/CodeNinja-1.0-OpenChat-7B
- SanjiWatsuki/Kunoichi-DPO-v2-7B
- mlabonne/NeuralDaredevil-7B
quantized_by: bartowski
pipeline_tag: text-generation
---

## Exllama v2 Quantizations of Beyonder-4x7B-v3

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.16">turboderp's ExLlamaV2 v0.0.16</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/mlabonne/Beyonder-4x7B-v3

| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
| [8_0](https://huggingface.co/bartowski/Beyonder-4x7B-v3-exl2/tree/8_0) | 8.0 | 8.0 | 24.8 GB | 26.3 GB | 28.3 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| [6_5](https://huggingface.co/bartowski/Beyonder-4x7B-v3-exl2/tree/6_5)   | 6.5  | 8.0 | 20.3 GB | 21.8 GB | 23.8 GB | Near unquantized performance at vastly reduced size, **recommended**.       |
| [5_0](https://huggingface.co/bartowski/Beyonder-4x7B-v3-exl2/tree/5_0) | 5.0  | 6.0 | 15.8 GB | 17.3 GB | 19.3 GB | Slightly lower quality vs 6.5. |
| [4_25](https://huggingface.co/bartowski/Beyonder-4x7B-v3-exl2/tree/4_25) | 4.25 | 6.0 | 14.0 GB | 15.5 GB | 17.5 GB | GPTQ equivalent bits per weight, slightly higher quality, great for 16gb cards with 16k context.                  |
| [3_5](https://huggingface.co/bartowski/Beyonder-4x7B-v3-exl2/tree/3_5) | 3.5  | 6.0 | 11.3 GB | 12.8 GB | 14.8 GB | Lower quality, not recommended, only suitable for 12GB cards. |
| [3_0](https://huggingface.co/bartowski/Beyonder-4x7B-v3-exl2/tree/3_0) | 3.0  | 6.0 | 10.5 GB | 12.0 GB | 14.0 GB | Very low quality, use if you need larger context and are limited on VRAM. |


## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Beyonder-4x7B-v3-exl2
```

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 `Beyonder-4x7B-v3-exl2`:

```shell
mkdir Beyonder-4x7B-v3-exl2
huggingface-cli download bartowski/Beyonder-4x7B-v3-exl2 --local-dir Beyonder-4x7B-v3-exl2 --local-dir-use-symlinks False
```

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

Linux:

```shell
mkdir Beyonder-4x7B-v3-exl2-6_5
huggingface-cli download bartowski/Beyonder-4x7B-v3-exl2 --revision 6_5 --local-dir Beyonder-4x7B-v3-exl2-6_5 --local-dir-use-symlinks False
```

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

```shell
mkdir Beyonder-4x7B-v3-exl2-6.5
huggingface-cli download bartowski/Beyonder-4x7B-v3-exl2 --revision 6_5 --local-dir Beyonder-4x7B-v3-exl2-6.5 --local-dir-use-symlinks False
```