README.md

---
language:
- en
license: mit
datasets:
- Open-Orca/SlimOrca
- beaugogh/openorca-multiplechoice-10k
metrics:
- accuracy
model-index:
- name: llama2_7b_merge_orcafamily
 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: 56.91
 name: normalized accuracy
 source:
 url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=yeen214/llama2_7b_merge_orcafamily
 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: 81.17
 name: normalized accuracy
 source:
 url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=yeen214/llama2_7b_merge_orcafamily
 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: 51.49
 name: accuracy
 source:
 url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=yeen214/llama2_7b_merge_orcafamily
 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: 49.68
 source:
 url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=yeen214/llama2_7b_merge_orcafamily
 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: 75.93
 name: accuracy
 source:
 url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=yeen214/llama2_7b_merge_orcafamily
 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: 23.12
 name: accuracy
 source:
 url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=yeen214/llama2_7b_merge_orcafamily
 name: Open LLM Leaderboard
---


This model is based on the LLama 7b model as a backbone, and datasets from various Orcas have been fine-tuned and merged.


The three models were combined, and the model with the best ARC and MMLU performance was given the highest weight.


First: fine-tuning beaugogh/openorca-multiplechoice-10k on llama2 7b, but using the NEFTune method.


Second: model fine-tuned with the SlimOrca dataset on llama2 7b.

Third : Model with beaugogh/openorca-multiplechoice-10k fine-tuned on llama2 7b.



We'll add the results once we have the official results
# [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_yeen214__llama2_7b_merge_orcafamily)

| Metric |Value|
|---------------------------------|----:|
|Avg. |56.38|
|AI2 Reasoning Challenge (25-Shot)|56.91|
|HellaSwag (10-Shot) |81.17|
|MMLU (5-Shot) |51.49|
|TruthfulQA (0-shot) |49.68|
|Winogrande (5-shot) |75.93|
|GSM8k (5-shot) |23.12|