README.md

metadata

license: cc-by-nc-4.0
library_name: transformers
tags:
  - mergekit
  - merge
  - alpaca
  - mistral
  - not-for-all-audiences
  - nsfw
model-index:
  - name: IceDrinkNameGoesHereRP-7b-Model_Stock
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: HuggingFaceH4/ifeval
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 49.71
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: BBH
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 28.61
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: hendrycks/competition_math
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 4
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 0.78
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MuSR (0-shot)
          type: TAUR-Lab/MuSR
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 11.44
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU-PRO (5-shot)
          type: TIGER-Lab/MMLU-Pro
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 21.38
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
          name: Open LLM Leaderboard

IceDrinkNameGoesHereRP-7b-Model_Stock

This is a merge of pre-trained language models created using mergekit.

Updates:

14.09.24 : "rope_theta": 1000000 -> 40000.0

Merge Method

This model was merged using the Model Stock merge method using mistralai\Mistral-7B-Instruct-v0.2 as a base.

Models Merged

The following models were included in the merge:

• icefog72\IceSomeDrinkNameHereRP-7b-Della
• icefog72\IceTea21EnergyDrinkRPV13-DPOv3.5

Configuration

The following YAML configuration was used to produce this model:

models:
- model: mistralai\Mistral-7B-Instruct-v0.2
- model: icefog72\IceTea21EnergyDrinkRPV13-DPOv3.5
- model: icefog72\IceSomeDrinkNameHereRP-7b-Della
merge_method: model_stock
base_model: icefog72\Mistral-7B-Instruct-v0.2
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	19.32
IFEval (0-Shot)	49.71
BBH (3-Shot)	28.61
MATH Lvl 5 (4-Shot)	4.00
GPQA (0-shot)	0.78
MuSR (0-shot)	11.44
MMLU-PRO (5-shot)	21.38