---
language:
- en
license: llama2
tags:
- dare
- super mario merge
- pytorch
- llama
- llama-2
- merge
pipeline_tag: text-generation
inference: false
model-index:
- name: llama2-megamerge-dare-13b-v2
  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: 59.39
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
      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: 80.93
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
      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: 55.26
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
      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: 47.27
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
      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: 75.53
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
      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: 29.26
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
      name: Open LLM Leaderboard
---

# llama 13b mega merge v2

The following were merged with DARE using [https://github.com/martyn/safetensors-merge-supermario](https://github.com/martyn/safetensors-merge-supermario)

## Mergelist

```
meta-llama/Llama-2-13b-hf
ajibawa-2023/Code-13B
ajibawa-2023/Python-Code-13B
meta-math/MetaMath-13B-V1.0
rombodawg/LosslessMegaCoder-llama2-13b-mini
NousResearch/Nous-Hermes-Llama2-13b
allenai/digital-socrates-13b
migtissera/Synthia-13B
Gryphe/MythoLogic-L2-13b
allenai/tulu-2-dpo-13b
FPHam/Free_Sydney_13b_HF
FPHam/Free_Sydney_V2_13b_HF
FPHam/Sydney_Overthinker_13b_HF
KoboldAI/LLaMA2-13B-Psyfighter2
Undi95/Unholy-v1-12L-13B
athirdpath/Eileithyia-13B
athirdpath/Orca-2-13b-Alpaca-Uncensored
```

## Merge command

```
python hf_merge.py mergelist.txt 13b-merge-v2 -p 0.11 -lambda 2.1
```

## Notes

* seems to generalize instruct styles
* `p` and `lambda` are still a guess
# [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_martyn__llama2-megamerge-dare-13b-v2)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |57.94|
|AI2 Reasoning Challenge (25-Shot)|59.39|
|HellaSwag (10-Shot)              |80.93|
|MMLU (5-Shot)                    |55.26|
|TruthfulQA (0-shot)              |47.27|
|Winogrande (5-shot)              |75.53|
|GSM8k (5-shot)                   |29.26|