README.md

metadata

language:
  - en
license: cc-by-4.0
library_name: transformers
tags:
  - mergekit
  - merge
  - mistral
  - text-generation
  - roleplay
base_model:
  - SanjiWatsuki/Silicon-Maid-7B
  - MTSAIR/multi_verse_model
  - SanjiWatsuki/Kunoichi-7B
  - KatyTheCutie/LemonadeRP-4.5.3
model-index:
  - name: Smart-Lemon-Cookie-7B
    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: 66.3
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B
          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: 85.53
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B
          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: 64.69
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B
          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: 60.66
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B
          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: 77.74
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B
          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: 54.06
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Smart-Lemon-Cookie-7B
          name: Open LLM Leaderboard

image courtesy of @matchaaaaa

Smart-Lemon-Cookie-7B

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

GGUF quants:

• https://huggingface.co/FaradayDotDev/Smart-Lemon-Cookie-7B-GGUF
• https://huggingface.co/mradermacher/Smart-Lemon-Cookie-7B-GGUF

Merge Details

Merge Method

This model was merged using the TIES merge method using MTSAIR/multi_verse_model as a base.

Models Merged

The following models were included in the merge:

• SanjiWatsuki/Silicon-Maid-7B
• SanjiWatsuki/Kunoichi-7B
• KatyTheCutie/LemonadeRP-4.5.3

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: SanjiWatsuki/Silicon-Maid-7B
    parameters:
      density: 1.0
      weight: 1.0
  - model: SanjiWatsuki/Kunoichi-7B
    parameters:
      density: 0.4
      weight: 1.0
  - model: KatyTheCutie/LemonadeRP-4.5.3
    parameters:
      density: 0.6
      weight: 1.0
merge_method: ties
base_model: MTSAIR/multi_verse_model
parameters:
  normalize: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	68.16
AI2 Reasoning Challenge (25-Shot)	66.30
HellaSwag (10-Shot)	85.53
MMLU (5-Shot)	64.69
TruthfulQA (0-shot)	60.66
Winogrande (5-shot)	77.74
GSM8k (5-shot)	54.06