Hugging Face's logo

EmbeddedLLM
/
Mistral-7B-Merge-14-v0

Text Generation
Transformers
Safetensors
English
mistral
Merge
text-generation-inference
Model card Files Community
1
Mistral-7B-Merge-14-v0 / README.md
thesunday's picture
thesunday
Update model card
aaddbb1
preview code
|
raw
history blame
3.61 kB
metadata
license: apache-2.0
language:
  - en

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
  2. ehartford/dolphin-2.2.1-mistral-7b
  3. SciPhi/SciPhi-Mistral-7B-32k
  4. ehartford/samantha-1.2-mistral-7b
  5. Arc53/docsgpt-7b-mistral
  6. berkeley-nest/Starling-LM-7B-alpha
  7. Q-bert/MetaMath-Cybertron-Starling
  8. Open-Orca/Mistral-7B-OpenOrca
  9. v1olet/v1olet_marcoroni-go-bruins-merge-7B
  10. beowolx/MistralHermes-CodePro-7B-v1
  11. TIGER-Lab/MAmmoTH-7B-Mistral
  12. teknium/OpenHermes-2.5-Mistral-7B
  13. Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
  14. mlabonne/NeuralHermes-2.5-Mistral-7B

The yaml config file for this model is here:

models:
  - model: /media/data5/hf_models/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: /media/data5/hf_models/dolphin-2.2.1-mistral-7b
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/SciPhi-Mistral-7B-32k
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/samantha-1.2-mistral-7b
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/docsgpt-7b-mistral
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/Starling-LM-7B-alpha
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/MetaMath-Cybertron-Starling
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/Mistral-7B-OpenOrca
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/v1olet_marcoroni-go-bruins-merge-7B
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/MistralHermes-CodePro-7B-v1
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/MAmmoTH-7B-Mistral
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/OpenHermes-2.5-Mistral-7B
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/OpenHermes-2.5-neural-chat-v3-3-Slerp
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/NeuralHermes-2.5-Mistral-7B
    parameters:
      weight: 0.08
      density: 0.4
  - model: /media/data5/hf_models/Mistral-7B-Instruct-v0.2
    parameters:
      weight: 0.08
      density: 0.5
merge_method: dare_ties
base_model: /media/data5/hf_models/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16