---
language:
- en
license: apache-2.0
base_model: mistralai/Mistral-Nemo-Base-2407
datasets:
- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
model-index:
- name: Dans-Instruct-CoreCurriculum-12b-ChatML
  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: 4.78
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
      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: 32.02
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
      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: 3.78
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
      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: 7.38
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
      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: 12.08
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
      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: 28.67
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
      name: Open LLM Leaderboard
---


Test model do not use. All of this text is to pad it to the limit and submit an eval on the leaderboard hope you enjoy reading it.

Trained on the PocketDoc/Dans-MemoryCore-CoreCurriculum-Small dataset using 4x H100 for 2 epochs.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Dans-DiscountModels__Dans-Instruct-CoreCurriculum-12b-ChatML)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |14.79|
|IFEval (0-Shot)    | 4.78|
|BBH (3-Shot)       |32.02|
|MATH Lvl 5 (4-Shot)| 3.78|
|GPQA (0-shot)      | 7.38|
|MuSR (0-shot)      |12.08|
|MMLU-PRO (5-shot)  |28.67|