---
license: ms-pl
tags:
- merge
model-index:
- name: Orca2-13B-selfmerge-26B
  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: 60.84
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vmajor/Orca2-13B-selfmerge-26B
      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: 79.84
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vmajor/Orca2-13B-selfmerge-26B
      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: 60.32
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vmajor/Orca2-13B-selfmerge-26B
      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: 56.38
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vmajor/Orca2-13B-selfmerge-26B
      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: 76.87
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vmajor/Orca2-13B-selfmerge-26B
      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: 39.2
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vmajor/Orca2-13B-selfmerge-26B
      name: Open LLM Leaderboard
---
This model is a result of merging Orca2-13B with itself using 'mergekit-legacy'. Merge parameters were --weight 0.5 --density 0.5 

This merged model showed marginal improvement in perplexity scores:

| Model                              | Perplexity  | 
|------------------------------------|-------------|
| microsoft/Orca-2-13b               | 7.595028877258301       | 
| vmajor/Orca2-13B-selfmerge-26B     | 7.550178050994873      | 
| vmajor/Orca2-13B-selfmerge-39B     | NC      |


### Benchmark Results

The following table summarizes the model performance across a range of benchmarks:

| Model                              | Average  | ARC   | HellaSwag | MMLU  | TruthfulQA | Winogrande | GSM8K |
|------------------------------------|-------------|-------|-----------|-------|------------|------------|-------|
| microsoft/Orca-2-13b               | 58.64       | 60.67 | 79.81     | 60.37 | 56.41      | 76.64      | 17.97 |
| vmajor/Orca2-13B-selfmerge-26B     | 62.24       | 60.84 | 79.84     | 60.32 | 56.38      | 76.87      | 39.2  |
| vmajor/Orca2-13B-selfmerge-39B     | 62.24       | 60.84 | 79.84     | 60.32 | 56.38      | 76.87      | 39.2  |

Interestingly the GSM8K performance more than doubled with the first self merge. Second self merge resulting in the 39B model did not produce any further gains.



---
license: ms-pl
---
# [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_vmajor__Orca2-13B-selfmerge-26B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |62.24|
|AI2 Reasoning Challenge (25-Shot)|60.84|
|HellaSwag (10-Shot)              |79.84|
|MMLU (5-Shot)                    |60.32|
|TruthfulQA (0-shot)              |56.38|
|Winogrande (5-shot)              |76.87|
|GSM8k (5-shot)                   |39.20|