metadata

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

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:

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:

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

Detailed results can be found here

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