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---
license: other
library_name: transformers
datasets:
- humaneval
license_name: deepseek
pipeline_tag: text-generation
tags:
- code
metrics:
- code_eval
quantized_by: bartowski
---
## Exllama v2 Quantizations of wavecoder-ultra-6.7b
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</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/microsoft/wavecoder-ultra-6.7b
## Prompt format
This seems to follow the DeepSeek coder format, aka Alpaca.
```
{system_prompt}
### Instruction: {prompt}
### Response:
```
## Available sizes
No GQA - VRAM requirements will be higher
| Branch | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
| -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
| [8_0](https://huggingface.co/bartowski/wavecoder-ultra-6.7b-exl2/tree/8_0) | 8.0 | 8.0 | 9.0 GB | 15.2 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| [6_5](https://huggingface.co/bartowski/wavecoder-ultra-6.7b-exl2/tree/6_5) | 6.5 | 8.0 | 8.2 GB | 14.4 GB | Near unquantized performance at vastly reduced size, **recommended**. |
| [5_0](https://huggingface.co/bartowski/wavecoder-ultra-6.7b-exl2/tree/5_0) | 5.0 | 6.0 | 6.8 GB | 13.0 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
| [4_25](https://huggingface.co/bartowski/wavecoder-ultra-6.7b-exl2/tree/4_25) | 4.25 | 6.0 | 6.1 GB | 12.3 GB | GPTQ equivalent bits per weight. |
| [3_5](https://huggingface.co/bartowski/wavecoder-ultra-6.7b-exl2/tree/3_5) | 3.5 | 6.0 | 5.5 GB | 11.7 GB | Lower quality, not recommended. |
## Download instructions
With git:
```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/wavecoder-ultra-6.7b-exl2 wavecoder-ultra-6.7b-exl2-6_5
```
With huggingface hub (credit to TheBloke for instructions):
```shell
pip3 install huggingface-hub
```
To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
Linux:
```shell
huggingface-cli download bartowski/wavecoder-ultra-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-6.7b-exl2-6_5 --local-dir-use-symlinks False
```
Windows (which apparently doesn't like _ in folders sometimes?):
```shell
huggingface-cli download bartowski/wavecoder-ultra-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-6.7b-exl2-6.5 --local-dir-use-symlinks False
```
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |