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Mistral-7B-Merge-14-v0

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

Run on huggingface.co
huggingface.co
Total runs: 28
24-hour runs: 0
7-day runs: 1
30-day runs: 11
Model's Last Updated: January 21 2024
text-generation

Introduction of Mistral-7B-Merge-14-v0

Model Details of Mistral-7B-Merge-14-v0

Update 2023-12-19

In light of dataset contamination issue among the merged models raised by the community in recent days, in particular berkeley-nest/Starling-LM-7B-alpha , and 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
  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: 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

Runs of EmbeddedLLM Mistral-7B-Merge-14-v0 on huggingface.co

28
Total runs
0
24-hour runs
-2
3-day runs
1
7-day runs
11
30-day runs

More Information About Mistral-7B-Merge-14-v0 huggingface.co Model

More Mistral-7B-Merge-14-v0 license Visit here:

https://choosealicense.com/licenses/cc-by-nc-4.0

Mistral-7B-Merge-14-v0 huggingface.co

Mistral-7B-Merge-14-v0 huggingface.co is an AI model on huggingface.co that provides Mistral-7B-Merge-14-v0's model effect (), which can be used instantly with this EmbeddedLLM Mistral-7B-Merge-14-v0 model. huggingface.co supports a free trial of the Mistral-7B-Merge-14-v0 model, and also provides paid use of the Mistral-7B-Merge-14-v0. Support call Mistral-7B-Merge-14-v0 model through api, including Node.js, Python, http.

Mistral-7B-Merge-14-v0 huggingface.co Url

https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0

EmbeddedLLM Mistral-7B-Merge-14-v0 online free

Mistral-7B-Merge-14-v0 huggingface.co is an online trial and call api platform, which integrates Mistral-7B-Merge-14-v0's modeling effects, including api services, and provides a free online trial of Mistral-7B-Merge-14-v0, you can try Mistral-7B-Merge-14-v0 online for free by clicking the link below.

EmbeddedLLM Mistral-7B-Merge-14-v0 online free url in huggingface.co:

https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0

Mistral-7B-Merge-14-v0 install

Mistral-7B-Merge-14-v0 is an open source model from GitHub that offers a free installation service, and any user can find Mistral-7B-Merge-14-v0 on GitHub to install. At the same time, huggingface.co provides the effect of Mistral-7B-Merge-14-v0 install, users can directly use Mistral-7B-Merge-14-v0 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Mistral-7B-Merge-14-v0 install url in huggingface.co:

https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0

Url of Mistral-7B-Merge-14-v0

Mistral-7B-Merge-14-v0 huggingface.co Url

Provider of Mistral-7B-Merge-14-v0 huggingface.co

EmbeddedLLM
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