---
language:
- en
license: llama2
tags:
- dare
- super mario merge
- pytorch
- llama
- llama-2
- merge
pipeline_tag: text-generation
inference: false
model-index:
- name: llama-megamerge-dare-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: 60.58
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama-megamerge-dare-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: 83.0
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama-megamerge-dare-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: 54.91
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama-megamerge-dare-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: 45.76
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama-megamerge-dare-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: 76.16
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama-megamerge-dare-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: 28.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama-megamerge-dare-13b
      name: Open LLM Leaderboard
---

# llama 13b mega merge

The following were merged with hyperparams `p=0.1` and `lambda=2`.

The first entry is the base model.

```
meta-llama/Llama-2-13b-hf
ajibawa-2023/Code-13B
migtissera/Synthia-13B
meta-math/MetaMath-13B-V1.0
FPHam/Sydney_Overthinker_13b_HF
allenai/tulu-2-dpo-13b
ajibawa-2023/Python-Code-13B
Doctor-Shotgun/cat-v1.0-13b
NeverSleep/Noromaid-13b-v0.1.1
```

Using [https://github.com/martyn/safetensors-merge-supermario](https://github.com/martyn/safetensors-merge-supermario)
# [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__llama-megamerge-dare-13b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |58.15|
|AI2 Reasoning Challenge (25-Shot)|60.58|
|HellaSwag (10-Shot)              |83.00|
|MMLU (5-Shot)                    |54.91|
|TruthfulQA (0-shot)              |45.76|
|Winogrande (5-shot)              |76.16|
|GSM8k (5-shot)                   |28.51|