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---
license: apache-2.0
model-index:
- name: MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 62.8
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 84.21
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 63.43
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 48.57
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 76.8
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 69.83
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Linear
name: Open LLM Leaderboard
---
models:
- model: meta-math/MetaMath-Mistral-7B
parameters:
weight: 0.5
- model: mlabonne/NeuralHermes-2.5-Mistral-7B
parameters:
weight: 0.3
merge_method: linear
dtype: float16
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__MetaMath-NeuralHermes-2.5-Mistral-7B-Linear)
| Metric |Value|
|---------------------------------|----:|
|Avg. |67.60|
|AI2 Reasoning Challenge (25-Shot)|62.80|
|HellaSwag (10-Shot) |84.21|
|MMLU (5-Shot) |63.43|
|TruthfulQA (0-shot) |48.57|
|Winogrande (5-shot) |76.80|
|GSM8k (5-shot) |69.83|
|