README.md

metadata

license: cc-by-nc-4.0
library_name: transformers
tags:
  - mergekit
  - merge
  - alpaca
  - mistral
  - not-for-all-audiences
  - nsfw
base_model:
  - s3nh/SeverusWestLake-7B-DPO
  - icefog72/IceLemonTeaRP-32k-7b
  - amazingvince/Not-WizardLM-2-7B
model-index:
  - name: WestIceLemonTeaRP-32k-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: 68.77
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-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: 86.89
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-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: 64.28
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-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: 62.47
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-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: 80.98
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-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: 64.22
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/WestIceLemonTeaRP-32k-7b
          name: Open LLM Leaderboard

WestIceLemonTeaRP-32k-7b

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

Merge Details

Prompt template: Alpaca, maybe ChatML

• measurement.json for quanting exl2 included.

• 4.2bpw-exl2
• 6.5bpw-exl2
• 8bpw-exl2

thx mradermacher and SilverFan for

• mradermacher/WestIceLemonTeaRP-32k-GGUF
• SilverFan/WestIceLemonTeaRP-7b-32k-GGUF

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• IceLemonTeaRP-32k-7b
• WestWizardIceLemonTeaRP
  • SeverusWestLake-7B-DPO
  • WizardIceLemonTeaRP
    • Not-WizardLM-2-7B
    • IceLemonTeaRP-32k-7b

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: IceLemonTeaRP-32k-7b
        layer_range: [0, 32]
      - model: WestWizardIceLemonTeaRP
        layer_range: [0, 32]
merge_method: slerp
base_model: IceLemonTeaRP-32k-7b
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	71.27
AI2 Reasoning Challenge (25-Shot)	68.77
HellaSwag (10-Shot)	86.89
MMLU (5-Shot)	64.28
TruthfulQA (0-shot)	62.47
Winogrande (5-shot)	80.98
GSM8k (5-shot)	64.22