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---
tags:
- merge
- mergekit
- lazymergekit
- Quazim0t0/Mithril-14B-sce
- Quazim0t0/Phi4Basis-14B-sce
- bunnycore/Phi-4-RR-Shoup
base_model:
- Quazim0t0/Mithril-14B-sce
- Quazim0t0/Phi4Basis-14B-sce
- bunnycore/Phi-4-RR-Shoup
model-index:
- name: NovaScotia-14b-stock
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: 67.87
name: strict accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
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: 56.03
name: normalized accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
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: 44.18
name: exact match
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
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: 13.2
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
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: 15.7
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
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: 48.99
name: accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
name: Open LLM Leaderboard
---
Open to use
# [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/Quazim0t0__NovaScotia-14b-stock-details)
| Metric |Value|
|-------------------|----:|
|Avg. |41.00|
|IFEval (0-Shot) |67.87|
|BBH (3-Shot) |56.03|
|MATH Lvl 5 (4-Shot)|44.18|
|GPQA (0-shot) |13.20|
|MuSR (0-shot) |15.70|
|MMLU-PRO (5-shot) |48.99|
|