|
--- |
|
datasets: |
|
- ehartford/dolphin |
|
- jondurbin/airoboros-2.2.1 |
|
- ehartford/dolphin-coder |
|
- teknium/openhermes |
|
- ise-uiuc/Magicoder-OSS-Instruct-75K |
|
- ise-uiuc/Magicoder-Evol-Instruct-110K |
|
- LDJnr/Capybara |
|
language: |
|
- en |
|
license: apache-2.0 |
|
quantized_by: bartowski |
|
pipeline_tag: text-generation |
|
--- |
|
|
|
## Exllama v2 Quantizations of dolphin-2.6.1-mixtral-8x7b |
|
|
|
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization. |
|
|
|
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions. |
|
|
|
Conversion was done using the default calibration dataset. |
|
|
|
Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6. |
|
|
|
Original model: https://huggingface.co/cognitivecomputations/dolphin-2.6.1-mixtral-8x7b |
|
|
|
## Download instructions |
|
|
|
With git: |
|
|
|
```shell |
|
git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/dolphin-2.6.1-mixtral-8x7b-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 `dolphin-2.6.1-mixtral-8x7b-exl2`: |
|
|
|
```shell |
|
mkdir dolphin-2.6.1-mixtral-8x7b-exl2 |
|
huggingface-cli download bartowski/dolphin-2.6.1-mixtral-8x7b-exl2 --local-dir dolphin-2.6.1-mixtral-8x7b-exl2 --local-dir-use-symlinks False |
|
``` |
|
|
|
To download from a different branch, add the `--revision` parameter: |
|
|
|
```shell |
|
mkdir dolphin-2.6.1-mixtral-8x7b-exl2 |
|
huggingface-cli download bartowski/dolphin-2.6.1-mixtral-8x7b-exl2 --revision 4_0 --local-dir dolphin-2.6.1-mixtral-8x7b-exl2 --local-dir-use-symlinks False |
|
``` |
|
|