metadata

language:
  - en
  - zh
license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - sthenno-com/miscii-14b-1225
  - sthenno/tempesthenno-ppo-ckpt40
metrics:
  - accuracy
model-index:
  - name: miscii-14b-0218
    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: 76.56
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
          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: 50.64
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
          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: 51.44
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
          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: 17.79
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
          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: 13.21
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
          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: 47.75
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-0218
          name: Open LLM Leaderboard

miscii-14b-0218

Image source: The Angel’s Message

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

Merge Details

Merge Method

This model was merged using the Model Stock merge method using /Users/sthenno/models/tempesthenno-ppo-enchanted as a base.

Models Merged

The following models were included in the merge:

/Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt40
/Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt50
/Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt60
/Users/sthenno/models/tempesthenno-sft-0218-ckpt60
/Users/sthenno/models/tempesthenno-sft-0218-ckpt80

Configuration

The following YAML configuration was used to produce this model:

name: tempesthenno-ms-0218
merge_method: model_stock
base_model: /Users/sthenno/models/tempesthenno-ppo-enchanted
tokenizer:
  source: base
dtype: float32
out_dtype: bfloat16
parameters:
  int8_mask: true
  normalize: true
  rescale: false
models:
  - model: /Users/sthenno/models/tempesthenno-sft-0218-ckpt60
  - model: /Users/sthenno/models/tempesthenno-sft-0218-ckpt80
  - model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt40
  - model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt50
  - model: /Users/sthenno/models/tempesthenno-sft-0218-stage2-ckpt60

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	42.90
IFEval (0-Shot)	76.56
BBH (3-Shot)	50.64
MATH Lvl 5 (4-Shot)	51.44
GPQA (0-shot)	17.79
MuSR (0-shot)	13.21
MMLU-PRO (5-shot)	47.75