---
language:
- en
- zh
library_name: transformers
tags:
- Long Context
- llama
datasets:
- THUDM/LongAlign-10k
license: apache-2.0
quantized_by: bartowski
pipeline_tag: text-generation
---

## Exllama v2 Quantizations of LongAlign-7B-64k

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</a> for quantization.

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

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/THUDM/LongAlign-7B-64k

No GQA - VRAM requirements will be higher

| Branch                                                         | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
| -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
| [8_0](https://huggingface.co/Bartowski/LongAlign-7B-64k-exl2/tree/8_0) | 8.0 | 8.0 | 9.4 GB | 15.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| [6_5](https://huggingface.co/Bartowski/LongAlign-7B-64k-exl2/tree/6_5) | 6.5  | 8.0 | 8.6 GB | 14.8 GB | Near unquantized performance at vastly reduced size, **recommended**. |
| [5_0](https://huggingface.co/Bartowski/LongAlign-7B-64k-exl2/tree/5_0) | 5.0  | 6.0 | 7.2 GB | 13.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
| [4_25](https://huggingface.co/Bartowski/LongAlign-7B-64k-exl2/tree/4_25) | 4.25 | 6.0 | 6.5 GB | 12.7 GB | GPTQ equivalent bits per weight. |
| [3_5](https://huggingface.co/Bartowski/LongAlign-7B-64k-exl2/tree/3_5) | 3.5 | 6.0 | 5.9 GB | 12.1 GB | Lower quality, not recommended. |

## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/LongAlign-7B-64k-exl2 LongAlign-7B-64k-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 `LongAlign-7B-64k-exl2`:

```shell
mkdir LongAlign-7B-64k-exl2
huggingface-cli download bartowski/LongAlign-7B-64k-exl2 --local-dir LongAlign-7B-64k-exl2 --local-dir-use-symlinks False
```

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

Linux:

```shell
mkdir LongAlign-7B-64k-exl2-6_5
huggingface-cli download bartowski/LongAlign-7B-64k-exl2 --revision 6_5 --local-dir LongAlign-7B-64k-exl2-6_5 --local-dir-use-symlinks False
```

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

```shell
mkdir LongAlign-7B-64k-exl2-6.5
huggingface-cli download bartowski/LongAlign-7B-64k-exl2 --revision 6_5 --local-dir LongAlign-7B-64k-exl2-6.5 --local-dir-use-symlinks False
```

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