|
--- |
|
base_model: |
|
- mistralai/Mixtral-8x7B-v0.1 |
|
- mistralai/Mixtral-8x7B-v0.1 |
|
- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora |
|
- KoboldAI/Mixtral-8x7B-Holodeck-v1 |
|
- jondurbin/bagel-dpo-8x7b-v0.2 |
|
- mistralai/Mixtral-8x7B-Instruct-v0.1 |
|
tags: |
|
- mergekit |
|
- merge |
|
license: apache-2.0 |
|
--- |
|
# DonutHole-8x7B |
|
|
|
_These are GGUF quantized versions of [DonutHole-8x7B](https://huggingface.co/ycros/DonutHole-8x7B)._ |
|
|
|
Bagel, Mixtral Instruct, Holodeck, LimaRP. |
|
> What mysteries lie in the hole of a donut? |
|
|
|
Good with Alpaca prompt formats, also works with Mistral format. See usage details below. |
|
|
|
|
|
 |
|
|
|
This is similar to [BagelMIsteryTour](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B), but I've swapped out Sensualize for the new Holodeck. |
|
I'm not sure if it's better or not yet, or how it does at higher (8k+) contexts just yet. |
|
|
|
Similar sampler advice applies as for BMT: minP (0.07 - 0.3 to taste) -> temp (either dynatemp 0-4ish, or like a temp of 3-4 with a smoothing factor of around 2.5ish). |
|
And yes, that's temp last. It does okay without rep pen up to a point, it doesn't seem to get into a complete jam, but it can start to repeat sentences, |
|
so you'll probably need some, perhaps 1.07 at a 1024 range seems okayish. |
|
(rep pen sucks, but there are better things coming). |
|
|
|
I've mainly tested with LimaRP style Alpaca prompts (instruction/input/response), and briefly with Mistral's own format. |
|
|
|
**Full credit to all the model and dataset authors, I am but a derp with compute and a yaml file.** |
|
|
|
--- |
|
|
|
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
|
|
|
## Merge Details |
|
### Merge Method |
|
|
|
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base. |
|
|
|
### Models Merged |
|
|
|
The following models were included in the merge: |
|
* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora) |
|
* [KoboldAI/Mixtral-8x7B-Holodeck-v1](https://huggingface.co/KoboldAI/Mixtral-8x7B-Holodeck-v1) |
|
* [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2) |
|
* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) |
|
|
|
### Configuration |
|
|
|
The following YAML configuration was used to produce this model: |
|
|
|
```yaml |
|
base_model: mistralai/Mixtral-8x7B-v0.1 |
|
models: |
|
- model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora |
|
parameters: |
|
density: 0.5 |
|
weight: 0.2 |
|
- model: KoboldAI/Mixtral-8x7B-Holodeck-v1 |
|
parameters: |
|
density: 0.5 |
|
weight: 0.2 |
|
- model: mistralai/Mixtral-8x7B-Instruct-v0.1 |
|
parameters: |
|
density: 0.6 |
|
weight: 1.0 |
|
- model: jondurbin/bagel-dpo-8x7b-v0.2 |
|
parameters: |
|
density: 0.6 |
|
weight: 0.5 |
|
merge_method: dare_ties |
|
dtype: bfloat16 |
|
|
|
|
|
``` |
