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---
license: apache-2.0
model-index:
- name: Llama2_init_Mistral
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: 60.07
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
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: 83.3
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
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: 64.09
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
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: 42.15
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
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: 78.37
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
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: 37.91
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
name: Open LLM Leaderboard
---
# Base Model - SOLAR-10.7B
This model is the base model implementation of SOLAR-10.7B. The architecture of base model is Llama2 architecture and initialized with weights of Mistral.
Please check specific details in the GitHub Repository.
GitHub Repository: https://github.com/gauss5930/iDUS
# 🏆 HuggingFace Open LLM Leaderboard
|Model|ARC|HellaSwag|MMLU|TruthfulQA|Winogrande|GSM8K|Average|
|---|---|---|---|---|---|---|---|
|Llama2_init_Mistral|60.07|83.3|64.09|42.15|78.37|37.91|60.98|
# [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_Cartinoe5930__Llama2_init_Mistral)
| Metric |Value|
|---------------------------------|----:|
|Avg. |60.98|
|AI2 Reasoning Challenge (25-Shot)|60.07|
|HellaSwag (10-Shot) |83.30|
|MMLU (5-Shot) |64.09|
|TruthfulQA (0-shot) |42.15|
|Winogrande (5-shot) |78.37|
|GSM8k (5-shot) |37.91|
|