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Dawn-v2-70B-exl2

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ExllamaV2 version of the model created by Undi!

Original Model https://huggingface.co/Undi95/Dawn-v2-70B

Requires ExllamaV2, which is being developed by turboderp https://github.com/turboderp/exllamav2 under an MIT license.

Main branch is 4.6bpw 8h (req ??gb)

2.5b8h branch is 2.5bpw 8h (req 24gb and the 8b cache setting) - Add BOS token must be unchecked at this weight or output is nonsense. New quant method applied 12/17/2023

5.0b8h branch is 5.0bpw 8h (req ??gb)

6b8h branch is 6.0bpw 8h requires between 60-72gb

[fp16 - gguf - exl2 : 2.40bpw - 2.55bpw]

Description

This repo contains fp16 files of Dawn-70B, a merge I have done with the new layer shuffle method from mergekit.

UtopiaXL 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 needed to do your own exl2 quant (I use wikitext).

Models and loras used

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: 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 for adding the layer shuffle method to his tool mergekit and Henky/KoboldAI for the machine he let me use.

If you want to support me, you can here.

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