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labradorite-13b-exl2

Text Generation
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labradorite
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labradorite-13b-exl2
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---
pipeline_tag: text-generation
tags:
- labradorite
- llama
- llama-2
- ibm
license: llama2
license_link: https://ai.meta.com/llama/license/
language:
- en
quantized_by: bartowski
---

## Exllama v2 Quantizations of labradorite-13b

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</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/ibm/labradorite-13b

No GQA - VRAM requirements will be higher

| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | Description |
| ----- | ---- | ------- | ------ | ------ | ------------ |
| [8_0](https://huggingface.co/bartowski/labradorite-13b-exl2/tree/8_0) | 8.0  | 8.0 | 16.8 GB | 26.2 GB | Near unquantized performance at vastly reduced size, **recommended**. |
| [6_5](https://huggingface.co/bartowski/labradorite-13b-exl2/tree/6_5) | 6.5  | 8.0 | 14.4 GB | 24.0 GB | Near unquantized performance at vastly reduced size, **recommended**. |
| [5_0](https://huggingface.co/bartowski/labradorite-13b-exl2/tree/5_0) | 5.0  | 6.0 | 12.1 GB | 21.7 GB | Slightly lower perplexity vs 6.5, can fit in 12 GB card with even lower context. |
| [4_25](https://huggingface.co/bartowski/labradorite-13b-exl2/tree/4_25) | 4.25 | 6.0 | 10.9 GB | 20.5 GB | GPTQ equivalent bits per weight. |
| [3_75](https://huggingface.co/bartowski/labradorite-13b-exl2/tree/3_75) | 3.75  | 6.0 | 10.1 GB | 19.7 GB | Lower quality but still generally usable. |
| [3_0](https://huggingface.co/bartowski/labradorite-13b-exl2/tree/3_0) | 3.0  | 6.0 |  9.1 GB | 18.7 GB | Very low quality, not recommended unless you have to. |

VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (9.6 GB)

## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/labradorite-13b-exl2 labradorite-13b-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 `labradorite-13b-exl2`:

```shell
mkdir labradorite-13b-exl2
huggingface-cli download bartowski/labradorite-13b-exl2 --local-dir labradorite-13b-exl2 --local-dir-use-symlinks False
```

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

Linux:

```shell
mkdir labradorite-13b-exl2-6_5
huggingface-cli download bartowski/labradorite-13b-exl2 --revision 6_5 --local-dir labradorite-13b-exl2-6_5 --local-dir-use-symlinks False
```

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

```shell
mkdir labradorite-13b-exl2-6.5
huggingface-cli download bartowski/labradorite-13b-exl2 --revision 6_5 --local-dir labradorite-13b-exl2-6.5 --local-dir-use-symlinks False
```

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