---
license: apache-2.0
library_name: transformers
tags:
- merge
pipeline_tag: text-generation
model-index:
- name: TheTop-5x7B-Instruct-D-v0.1
  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: 71.76
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-D-v0.1
      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: 88.21
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-D-v0.1
      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: 64.86
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-D-v0.1
      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: 66.32
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-D-v0.1
      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: 84.37
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-D-v0.1
      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: 71.72
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-D-v0.1
      name: Open LLM Leaderboard
---

Merge of top 7B models with DARE method

> mergekit is a toolkit for merging pre-trained language models. mergekit uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.

## Eval

```python
{
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        "acc_norm": 0.6537337854798912,
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        "mc1": 0.5189718482252142,
        "mc1_stderr": 0.01749089640576236,
        "mc2": 0.6631825155680797,
        "mc2_stderr": 0.01527641053841743
    },
    "harness|arc:challenge|25": {
        "acc": 0.6953924914675768,
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        "acc_norm": 0.7175767918088737,
        "acc_norm_stderr": 0.013155456884097225
    },
    "harness|hellaswag|10": {
        "acc": 0.7120095598486357,
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        "acc_norm": 0.8820952001593309,
        "acc_norm_stderr": 0.003218362717491129
    },
    "harness|hendrycksTest-abstract_algebra|5": {
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    },
    "harness|hendrycksTest-anatomy|5": {
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    },
    "harness|hendrycksTest-astronomy|5": {
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    },
    "harness|hendrycksTest-business_ethics|5": {
        "acc": 0.64,
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    },
    "harness|hendrycksTest-clinical_knowledge|5": {
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    "harness|hendrycksTest-college_biology|5": {
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    "harness|hendrycksTest-college_computer_science|5": {
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    "harness|hendrycksTest-high_school_psychology|5": {
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    "harness|hendrycksTest-high_school_world_history|5": {
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    "harness|gsm8k|5": {
        "acc": 0.7172100075815011,
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    }
}

```
# [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_MaziyarPanahi__TheTop-5x7B-Instruct-D-v0.1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |74.54|
|AI2 Reasoning Challenge (25-Shot)|71.76|
|HellaSwag (10-Shot)              |88.21|
|MMLU (5-Shot)                    |64.86|
|TruthfulQA (0-shot)              |66.32|
|Winogrande (5-shot)              |84.37|
|GSM8k (5-shot)                   |71.72|