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---
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|
|