
# Update 2023-12-19

In light of [dataset contamination issue among the merged models](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/474)
raised by the community in recent days, in particular
[berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha), and
[Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling),
we decided to remake another model without the models mentioned.
Additionally, their CC-by-NC-4.0 license is restrictive and thus are not suitable for an open model.


# Model Description
This is an experiment to test merging 14 models using DARE TIES 🦙

The result is a base model that performs quite well but requires some further instruction fine-tuning.

The 14 models are as follows:
1. [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
2. [ehartford/dolphin-2.2.1-mistral-7b](https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b)
3. [SciPhi/SciPhi-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k)
4. [ehartford/samantha-1.2-mistral-7b](https://huggingface.co/ehartford/samantha-1.2-mistral-7b)
5. [Arc53/docsgpt-7b-mistral](https://huggingface.co/Arc53/docsgpt-7b-mistral)
6. [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
7. [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling)
8. [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
9. [v1olet/v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B)
10. [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1)
11. [TIGER-Lab/MAmmoTH-7B-Mistral](https://huggingface.co/TIGER-Lab/MAmmoTH-7B-Mistral)
12. [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
13. [Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp)
14. [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)

- base model: [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)

The yaml config file for this model is here:

```yaml
models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: ehartford/dolphin-2.2.1-mistral-7b
    parameters:
      weight: 0.08
      density: 0.4
  - model: SciPhi/SciPhi-Mistral-7B-32k
    parameters:
      weight: 0.08
      density: 0.4
  - model: ehartford/samantha-1.2-mistral-7b
    parameters:
      weight: 0.08
      density: 0.4
  - model: Arc53/docsgpt-7b-mistral
    parameters:
      weight: 0.08
      density: 0.4
  - model: berkeley-nest/Starling-LM-7B-alpha
    parameters:
      weight: 0.08
      density: 0.4
  - model: Q-bert/MetaMath-Cybertron-Starling
    parameters:
      weight: 0.08
      density: 0.4
  - model: Open-Orca/Mistral-7B-OpenOrca
    parameters:
      weight: 0.08
      density: 0.4
  - model: v1olet/v1olet_marcoroni-go-bruins-merge-7B
    parameters:
      weight: 0.08
      density: 0.4
  - model: beowolx/MistralHermes-CodePro-7B-v1
    parameters:
      weight: 0.08
      density: 0.4
  - model: TIGER-Lab/MAmmoTH-7B-Mistral
    parameters:
      weight: 0.08
      density: 0.4
  - model: teknium/OpenHermes-2.5-Mistral-7B
    parameters:
      weight: 0.08
      density: 0.4
  - model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
    parameters:
      weight: 0.08
      density: 0.4
  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
    parameters:
      weight: 0.08
      density: 0.4
  - model: mistralai/Mistral-7B-Instruct-v0.2
    parameters:
      weight: 0.08
      density: 0.5
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

```
{"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "ehartford/dolphin-2.2.1-mistral-7b", "SciPhi/SciPhi-Mistral-7B-32k", "ehartford/samantha-1.2-mistral-7b", "Arc53/docsgpt-7b-mistral", "berkeley-nest/Starling-LM-7B-alpha", "Q-bert/MetaMath-Cybertron-Starling", "Open-Orca/Mistral-7B-OpenOrca", "v1olet/v1olet_marcoroni-go-bruins-merge-7B", "beowolx/MistralHermes-CodePro-7B-v1", "TIGER-Lab/MAmmoTH-7B-Mistral", "teknium/OpenHermes-2.5-Mistral-7B", "Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp", "mlabonne/NeuralHermes-2.5-Mistral-7B"]}
transformers safetensors mistral text-generation merge en base_model:mistralai/Mistral-7B-Instruct-v0.2 base_model:ehartford/dolphin-2.2.1-mistral-7b base_model:SciPhi/SciPhi-Mistral-7B-32k base_model:ehartford/samantha-1.2-mistral-7b base_model:Arc53/docsgpt-7b-mistral base_model:berkeley-nest/Starling-LM-7B-alpha base_model:Q-bert/MetaMath-Cybertron-Starling base_model:Open-Orca/Mistral-7B-OpenOrca base_model:v1olet/v1olet_marcoroni-go-bruins-merge-7B base_model:beowolx/MistralHermes-CodePro-7B-v1 base_model:TIGER-Lab/MAmmoTH-7B-Mistral base_model:teknium/OpenHermes-2.5-Mistral-7B base_model:Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp base_model:mlabonne/NeuralHermes-2.5-Mistral-7B license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us