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---
language:
- en
license: apache-2.0
tags:
- merge
model-index:
- name: Marcoroni-v3-neural-chat-v3-3-Slerp
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: 68.77
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Toten5/Marcoroni-v3-neural-chat-v3-3-Slerp
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: 86.55
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Toten5/Marcoroni-v3-neural-chat-v3-3-Slerp
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: 64.51
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Toten5/Marcoroni-v3-neural-chat-v3-3-Slerp
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: 62.7
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Toten5/Marcoroni-v3-neural-chat-v3-3-Slerp
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: 80.74
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Toten5/Marcoroni-v3-neural-chat-v3-3-Slerp
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: 71.8
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Toten5/Marcoroni-v3-neural-chat-v3-3-Slerp
name: Open LLM Leaderboard
---
# Marcoroni-neural-chat-7B-v1
# Model Details
This model is a merge of models [AIDC-ai-business/Marcoroni-7B-v3](https://huggingface.co./AIDC-ai-business/Marcoroni-7B-v3) and [Intel/neural-chat-7b-v3-3](https://huggingface.co./Intel/neural-chat-7b-v3-3) using Slerp with mergekit tool for testing purposes.
Both models are based on mistralai/Mistral-7B-v0.1.
# [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_Toten5__Marcoroni-v3-neural-chat-v3-3-Slerp)
| Metric |Value|
|---------------------------------|----:|
|Avg. |72.51|
|AI2 Reasoning Challenge (25-Shot)|68.77|
|HellaSwag (10-Shot) |86.55|
|MMLU (5-Shot) |64.51|
|TruthfulQA (0-shot) |62.70|
|Winogrande (5-shot) |80.74|
|GSM8k (5-shot) |71.80|
|