README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - elinas/Chronos-Gold-12B-1.0
  - ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
  - nbeerbower/Mistral-Nemo-Prism-12B
model-index:
  - name: Chronos-Prism_V1.0
    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: 32.59
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
          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: 36.58
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
          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: 11.63
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
          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: 7.94
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
          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: 14.28
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
          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: 29.7
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chronos-Prism_V1.0
          name: Open LLM Leaderboard

Model details:

This is definately not perfect, but it does feel pretty close.

Feedback is welcome, as always.

---

merge

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

Merge Method

This model was merged using the TIES merge method using nbeerbower/Mistral-Nemo-Prism-12B as a base.

Models Merged

The following models were included in the merge:

• elinas/Chronos-Gold-12B-1.0
• ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: nbeerbower/Mistral-Nemo-Prism-12B
    #no parameters necessary for base model
  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
    parameters:
      density: 0.5
      weight: 0.5
  - model: elinas/Chronos-Gold-12B-1.0
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: nbeerbower/Mistral-Nemo-Prism-12B
parameters:
  normalize: false
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	22.12
IFEval (0-Shot)	32.59
BBH (3-Shot)	36.58
MATH Lvl 5 (4-Shot)	11.63
GPQA (0-shot)	7.94
MuSR (0-shot)	14.28
MMLU-PRO (5-shot)	29.70