README.md

---
license: unknown
tags:
- merge
model-index:
- name: Everyone-LLM-7b-Base
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 66.38
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Everyone-LLM-7b-Base
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 86.02
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Everyone-LLM-7b-Base
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 64.94
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Everyone-LLM-7b-Base
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 57.89
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Everyone-LLM-7b-Base
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 80.43
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Everyone-LLM-7b-Base
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 65.58
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rombodawg/Everyone-LLM-7b-Base
      name: Open LLM Leaderboard
---
Everyone-LLM-7b-Base


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/ECrHQnZnv8UM9GUCQtlWW.jpeg)

EveryoneLLM series of models made by the community, for the community.

This is the first version of Everyone-LLM, a model that combines the power of the large majority of powerfull fine-tuned LLM's made by the community, to create a vast and knowledgable LLM with various abilities.


Prompt template: Alpaca
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```

The models that were used in this merger were as follow:

- https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo

- https://huggingface.co/jondurbin/bagel-dpo-7b-v0.4

- https://huggingface.co/Locutusque/Hercules-2.0-Mistral-7B


- https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca

- https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B

- https://huggingface.co/NousResearch/Nous-Capybara-7B-V1.9

- https://huggingface.co/Intel/neural-chat-7b-v3-3

- https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2

- https://huggingface.co/senseable/WestLake-7B-v2

- https://huggingface.co/defog/sqlcoder-7b

- https://huggingface.co/meta-math/MetaMath-Mistral-7B

- https://huggingface.co/nextai-team/apollo-v1-7b

- https://huggingface.co/WizardLM/WizardMath-7B-V1.1

- https://huggingface.co/openchat/openchat-3.5-0106

- https://huggingface.co/mistralai/Mistral-7B-v0.1

Thank you to the creators of the above ai models, they have full credit for the EveryoneLLM series of models. Without their hard work we wouldnt be able to achieve the great success we have in the open source community. 💗

You can find the write up for merging models here:

https://docs.google.com/document/d/1_vOftBnrk9NRk5h10UqrfJ5CDih9KBKL61yvrZtVWPE/edit?usp=sharing


# Open LLM Leaderboard Scores
```
| Model                              | Average |   ARC   | HellaSwag |   MMLU  | TruthfulQA | Winogrande |  GSM8K  |
|------------------------------------|---------|---------|-----------|---------|------------|------------|---------|
|   rombodawg/Everyone-LLM-7b-Base   | 70.21   | 66.38   | 86.02     | 64.94   | 57.89      | 80.43      | 65.58   |
```

Config for the merger can be found bellow:

```yaml
models:
  - model: cognitivecomputations_dolphin-2.6-mistral-7b-dpo
    parameters:
      weight: 1
  - model: jondurbin_bagel-dpo-7b-v0.4
    parameters:
      weight: 1
  - model: Locutusque_Hercules-2.0-Mistral-7B
    parameters:
      weight: 1
  - model: Open-Orca_Mistral-7B-OpenOrca
    parameters:
      weight: 1
  - model: teknium_OpenHermes-2.5-Mistral-7B
    parameters:
      weight: 1
  - model: NousResearch_Nous-Capybara-7B-V1.9

    parameters:
      weight: 1
  - model: Intel_neural-chat-7b-v3-3
    parameters:
      weight: 1
  - model: mistralai_Mistral-7B-Instruct-v0.2
    parameters:
      weight: 1
  - model: senseable_WestLake-7B-v2
    parameters:
      weight: 1
  - model: defog_sqlcoder-7b
    parameters:
      weight: 1
  - model: meta-math_MetaMath-Mistral-7B
    parameters:
      weight: 1
  - model: nextai-team_apollo-v1-7b
    parameters:
      weight: 1
  - model: WizardLM_WizardMath-7B-V1.1
    parameters:
      weight: 1
  - model: openchat_openchat-3.5-0106
    parameters:
      weight: 1
merge_method: task_arithmetic
base_model: mistralai_Mistral-7B-v0.1
parameters:
  normalize: true
  int8_mask: true
dtype: float16

```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rombodawg__Everyone-LLM-7b-Base)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |70.21|
|AI2 Reasoning Challenge (25-Shot)|66.38|
|HellaSwag (10-Shot)              |86.02|
|MMLU (5-Shot)                    |64.94|
|TruthfulQA (0-shot)              |57.89|
|Winogrande (5-shot)              |80.43|
|GSM8k (5-shot)                   |65.58|