---
license: apache-2.0
library_name: transformers
tags:
- merge
pipeline_tag: text-generation
model-index:
- name: TheTop-5x7B-Instruct-P-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: 38.57
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-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: 51.54
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-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: 63.36
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-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: 50.07
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-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: 72.61
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-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: 0.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
      name: Open LLM Leaderboard
---

Merge of top 7B models with PASS 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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        "mc1": 0.25091799265605874,
        "mc1_stderr": 0.015176985027707694,
        "mc2": 0.5006656333594469,
        "mc2_stderr": 0.01636490303268174
    },
    "harness|arc:challenge|25": {
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        "acc_norm": 0.3856655290102389,
        "acc_norm_stderr": 0.01422425097325717
    },
    "harness|hellaswag|10": {
        "acc": 0.34116709818761204,
        "acc_stderr": 0.004731324409133264,
        "acc_norm": 0.515435172276439,
        "acc_norm_stderr": 0.004987403268345035
    },
    "harness|hendrycksTest-abstract_algebra|5": {
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    },
    "harness|hendrycksTest-anatomy|5": {
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    },
    "harness|hendrycksTest-astronomy|5": {
        "acc": 0.6842105263157895,
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    "harness|hendrycksTest-business_ethics|5": {
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    "harness|hendrycksTest-clinical_knowledge|5": {
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    "harness|hendrycksTest-college_computer_science|5": {
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    "harness|hendrycksTest-high_school_physics|5": {
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    "harness|hendrycksTest-high_school_psychology|5": {
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    "harness|gsm8k|5": {
        "acc": 0.0,
        "acc_stderr": 0.0
    }
}

```
# [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-P-v0.1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |46.02|
|AI2 Reasoning Challenge (25-Shot)|38.57|
|HellaSwag (10-Shot)              |51.54|
|MMLU (5-Shot)                    |63.36|
|TruthfulQA (0-shot)              |50.07|
|Winogrande (5-shot)              |72.61|
|GSM8k (5-shot)                   | 0.00|