|
--- |
|
datasets: |
|
- cognitivecomputations/dolphin |
|
- jondurbin/airoboros-2.2.1 |
|
- cognitivecomputations/dolphin-coder |
|
- teknium/openhermes |
|
- ise-uiuc/Magicoder-OSS-Instruct-75K |
|
- ise-uiuc/Magicoder-Evol-Instruct-110K |
|
- m-a-p/Code-Feedback |
|
- m-a-p/CodeFeedback-Filtered-Instruction |
|
- microsoft/orca-math-word-problems-200k |
|
language: |
|
- en |
|
license: bigcode-openrail-m |
|
quantized_by: bartowski |
|
pipeline_tag: text-generation |
|
--- |
|
|
|
## Exllama v2 Quantizations of dolphincoder-starcoder2-7b |
|
|
|
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.15">turboderp's ExLlamaV2 v0.0.15</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/cognitivecomputations/dolphincoder-starcoder2-7b |
|
|
|
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description | |
|
| ----- | ---- | ------- | ------ | ------ | ------ | ------------ | |
|
| [8_0](https://huggingface.co/bartowski/dolphincoder-starcoder2-7b-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.2 GB | 10.2 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | |
|
| [6_5](https://huggingface.co/bartowski/dolphincoder-starcoder2-7b-exl2/tree/6_5) | 6.5 | 8.0 | 7.1 GB | 7.9 GB | 8.9 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. | |
|
| [5_0](https://huggingface.co/bartowski/dolphincoder-starcoder2-7b-exl2/tree/5_0) | 5.0 | 6.0 | 5.8 GB | 6.6 GB | 7.6 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. | |
|
| [4_25](https://huggingface.co/bartowski/dolphincoder-starcoder2-7b-exl2/tree/4_25) | 4.25 | 6.0 | 5.1 GB | 5.9 GB | 6.9 GB | GPTQ equivalent bits per weight, slightly higher quality. | |
|
| [3_5](https://huggingface.co/bartowski/dolphincoder-starcoder2-7b-exl2/tree/3_5) | 3.5 | 6.0 | 4.5 GB | 5.3 GB | 6.3 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/dolphincoder-starcoder2-7b-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 `dolphincoder-starcoder2-7b-exl2`: |
|
|
|
```shell |
|
mkdir dolphincoder-starcoder2-7b-exl2 |
|
huggingface-cli download bartowski/dolphincoder-starcoder2-7b-exl2 --local-dir dolphincoder-starcoder2-7b-exl2 --local-dir-use-symlinks False |
|
``` |
|
|
|
To download from a different branch, add the `--revision` parameter: |
|
|
|
Linux: |
|
|
|
```shell |
|
mkdir dolphincoder-starcoder2-7b-exl2-6_5 |
|
huggingface-cli download bartowski/dolphincoder-starcoder2-7b-exl2 --revision 6_5 --local-dir dolphincoder-starcoder2-7b-exl2-6_5 --local-dir-use-symlinks False |
|
``` |
|
|
|
Windows (which apparently doesn't like _ in folders sometimes?): |
|
|
|
```shell |
|
mkdir dolphincoder-starcoder2-7b-exl2-6.5 |
|
huggingface-cli download bartowski/dolphincoder-starcoder2-7b-exl2 --revision 6_5 --local-dir dolphincoder-starcoder2-7b-exl2-6.5 --local-dir-use-symlinks False |
|
``` |
