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---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
<center>[<a href="https://huggingface.co/Undi95/Dawn-v2-70B">fp16</a> - <a href="https://huggingface.co/Undi95/Dawn-v2-70B-GGUF">gguf</a> - exl2 : <a href="https://huggingface.co/Undi95/Dawn-v2-70B-2.55bpw-h6-exl2">2.55bpw</a>]</center>
</br>
<div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/Cxcfqi4WdtXCNLnaIqSRB.png" style="width: 75%; min-width: 200px; display: block; margin: auto;">
</div>
<!-- description start -->
## Description
This repo contains exl2 (2.55bpw, h6) files of Dawn-70B, a merge I have done with the new [layer shuffle](https://github.com/cg123/mergekit/blob/main/mergekit/scripts/layershuffle.py) method from mergekit.
2.55bpw seems a little hard to make working, but it can be sorted out, just try to find good setting. Other quant available [here](https://huggingface.co/AzureBlack/Dawn-v2-70B-exl2) thanks to [AzureBlack](https://huggingface.co/AzureBlack/), also, a big thanks to [TheBloke](https://huggingface.co/TheBloke) for the compute power that let me test different GPU for the EXL2 quant.
Don't use this. THIS WILL break it up 100% at low bpw.
Also, you need to disable Added BOS token, it will break it too.
[UtopiaXL](https://huggingface.co/Undi95/UtopiaXL-13B) was a huge success for me, I really liked it, so I took the same path to do this 70B: A good base, some psychologic data, some medical data, a little bit of this, of that, and LimaRP at the end as always.
NOTE: This repo contain the file [measurement.json](https://huggingface.co/Undi95/Dawn-v2-70B-2.4bpw-h6-exl2/blob/main/measurement.json) needed to do your own exl2 quant (I use [wikitext](https://huggingface.co/datasets/wikitext/resolve/refs%2Fconvert%2Fparquet/wikitext-2-raw-v1/train/0000.parquet)).
<!-- description end -->
<!-- description start -->
## Models and loras used
- [Sao10K/Euryale-1.3-L2-70B](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B)
- [Xwin-LM/Xwin-LM-70B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-70B-V0.1)
- [ehartford/Samantha-1.11-70b](https://huggingface.co/ehartford/Samantha-1.11-70b)
- [NousResearch/Nous-Hermes-Llama2-70b](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-70b)
- [augtoma/qCammel-70-x](https://huggingface.co/augtoma/qCammel-70-x)
- [jondurbin/airoboros-l2-c70b-3.1.2](https://huggingface.co/jondurbin/airoboros-l2-c70b-3.1.2)
- [fangloveskari/ORCA_LLaMA_70B_QLoRA](https://huggingface.co/fangloveskari/ORCA_LLaMA_70B_QLoRA)
- [Doctor-Shotgun/limarpv3-llama2-70b-qlora](https://huggingface.co/Doctor-Shotgun/limarpv3-llama2-70b-qlora)
<!-- description end -->
## The sauce
```
!mergekit-layershuffle ./Dawn-v2-70B \
--model Sao10K/Euryale-1.3-L2-70B --weight 0.3 \
--model Xwin-LM/Xwin-LM-70B-V0.1 --weight 0.2 \
--model ehartford/Samantha-1.11-70b --weight 0.1 \
--model NousResearch/Nous-Hermes-Llama2-70b --weight 0.05 \
--model augtoma/qCammel-70-x --weight 0.05 \
--model jondurbin/airoboros-l2-c70b-3.1.2 --weight 0.2 \
--model fangloveskari/ORCA_LLaMA_70B_QLoRA --weight 0.1 \
--write-yaml Dawn-v2-70B.yaml
=========================
merge_method: passthrough
slices:
- sources:
- layer_range:
- 0
- 1
model: fangloveskari/ORCA_LLaMA_70B_QLoRA
- sources:
- layer_range:
- 1
- 2
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 2
- 3
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 3
- 4
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 4
- 5
model: fangloveskari/ORCA_LLaMA_70B_QLoRA
- sources:
- layer_range:
- 5
- 6
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 6
- 8
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 8
- 9
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 9
- 10
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 10
- 11
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 11
- 12
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 12
- 13
model: fangloveskari/ORCA_LLaMA_70B_QLoRA
- sources:
- layer_range:
- 13
- 14
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 14
- 15
model: fangloveskari/ORCA_LLaMA_70B_QLoRA
- sources:
- layer_range:
- 15
- 16
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 16
- 17
model: fangloveskari/ORCA_LLaMA_70B_QLoRA
- sources:
- layer_range:
- 17
- 18
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 18
- 19
model: NousResearch/Nous-Hermes-Llama2-70b
- sources:
- layer_range:
- 19
- 20
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 20
- 21
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 21
- 22
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 22
- 23
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 23
- 24
model: augtoma/qCammel-70-x
- sources:
- layer_range:
- 24
- 25
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 25
- 27
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 27
- 28
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 28
- 29
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 29
- 30
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 30
- 32
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 32
- 33
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 33
- 34
model: augtoma/qCammel-70-x
- sources:
- layer_range:
- 34
- 35
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 35
- 37
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 37
- 38
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 38
- 39
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 39
- 40
model: augtoma/qCammel-70-x
- sources:
- layer_range:
- 40
- 41
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 41
- 42
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 42
- 43
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 43
- 44
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 44
- 45
model: NousResearch/Nous-Hermes-Llama2-70b
- sources:
- layer_range:
- 45
- 46
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 46
- 48
model: ehartford/Samantha-1.11-70b
- sources:
- layer_range:
- 48
- 49
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 49
- 50
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 50
- 51
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 51
- 54
model: fangloveskari/ORCA_LLaMA_70B_QLoRA
- sources:
- layer_range:
- 54
- 55
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 55
- 56
model: fangloveskari/ORCA_LLaMA_70B_QLoRA
- sources:
- layer_range:
- 56
- 58
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 58
- 59
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 59
- 60
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 60
- 62
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 62
- 63
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 63
- 64
model: fangloveskari/ORCA_LLaMA_70B_QLoRA
- sources:
- layer_range:
- 64
- 65
model: NousResearch/Nous-Hermes-Llama2-70b
- sources:
- layer_range:
- 65
- 66
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 66
- 67
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 67
- 68
model: augtoma/qCammel-70-x
- sources:
- layer_range:
- 68
- 70
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 70
- 71
model: augtoma/qCammel-70-x
- sources:
- layer_range:
- 71
- 72
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 72
- 73
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 73
- 75
model: jondurbin/airoboros-l2-c70b-3.1.2
- sources:
- layer_range:
- 75
- 76
model: Sao10K/Euryale-1.3-L2-70B
- sources:
- layer_range:
- 76
- 77
model: augtoma/qCammel-70-x
- sources:
- layer_range:
- 77
- 78
model: Xwin-LM/Xwin-LM-70B-V0.1
- sources:
- layer_range:
- 78
- 79
model: NousResearch/Nous-Hermes-Llama2-70b
- sources:
- layer_range:
- 79
- 80
model: Xwin-LM/Xwin-LM-70B-V0.1
=========================
=> Applying Doctor-Shotgun/limarpv3-llama2-70b-qlora x 0.35
```
<!-- prompt-template start -->
## Prompt template: Alpaca
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```
A big thanks to [Charles](https://huggingface.co/chargoddard) for adding the layer shuffle method to his tool [mergekit](https://github.com/cg123/mergekit/tree/main) and [Henky/KoboldAI](https://koboldai.org/) for the machine he let me use.
If you want to support me, you can [here](https://ko-fi.com/undiai). |