metadata
language:
- en
tags:
- llama-2
- instruct
- instruction
pipeline_tag: text-generation
model-index:
- name: sitebunny-13b
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: 63.14
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
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: 83.64
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
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: 59.91
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
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: 56.21
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
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: 76.72
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
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: 9.4
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
name: Open LLM Leaderboard
GenAI-llama-2-13b
Model Details
- Developed by: 42MARU
- Backbone Model: LLaMA-2
- Library: transformers
Used Datasets
- Orca-style dataset
- Platypus
Prompt Template
### User:
{User}
### Assistant:
{Assistant}
Intruduce 42MARU
- At 42Maru we study QA (Question Answering) and are developing advanced search paradigms that help users spend less time searching by understanding natural language and intention thanks to AI and Deep Learning.
- About Us
- Contact Us
Contribute
License
USE_POLICY
Responsible Use Guide
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 56.03 |
| ARC (25-shot) | 63.14 |
| HellaSwag (10-shot) | 83.64 |
| MMLU (5-shot) | 59.91 |
| TruthfulQA (0-shot) | 56.21 |
| Winogrande (5-shot) | 76.72 |
| GSM8K (5-shot) | 9.4 |
| DROP (3-shot) | 43.23 |
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 58.17 |
| AI2 Reasoning Challenge (25-Shot) | 63.14 |
| HellaSwag (10-Shot) | 83.64 |
| MMLU (5-Shot) | 59.91 |
| TruthfulQA (0-shot) | 56.21 |
| Winogrande (5-shot) | 76.72 |
| GSM8k (5-shot) | 9.40 |