---
license: apache-2.0
library_name: transformers
tags:
- merge
pipeline_tag: text-generation
model-index:
- name: TheTop-5x7B-Instruct-T-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: 73.63
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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: 88.85
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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: 64.22
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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: 70.78
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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: 85.79
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-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: 66.49
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1
      name: Open LLM Leaderboard
---

Merge of top 7B models with TIES 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


![image/png](https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/YdjDNbmytFAPv-VGiuhx7.png)

```python
{
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        "acc_norm": 0.6479445077777353,
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        "mc1": 0.5862913096695227,
        "mc1_stderr": 0.0172408618120998,
        "mc2": 0.7078078883926877,
        "mc2_stderr": 0.015097515102384168
    },
    "harness|arc:challenge|25": {
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        "acc_norm": 0.7363481228668942,
        "acc_norm_stderr": 0.012875929151297044
    },
    "harness|hellaswag|10": {
        "acc": 0.7321250746863175,
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        "acc_norm": 0.8884684325831508,
        "acc_norm_stderr": 0.0031414591751392717
    },
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    "harness|hendrycksTest-anatomy|5": {
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    },
    "harness|hendrycksTest-astronomy|5": {
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        "acc_stderr": 0.03715062154998904,
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    },
    "harness|hendrycksTest-business_ethics|5": {
        "acc": 0.61,
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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_mathematics|5": {
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    "harness|hendrycksTest-high_school_psychology|5": {
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    "harness|hendrycksTest-high_school_us_history|5": {
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    "harness|hendrycksTest-miscellaneous|5": {
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        "acc": 0.8579321231254933,
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    "harness|gsm8k|5": {
        "acc": 0.6648976497346475,
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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-T-v0.1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |74.96|
|AI2 Reasoning Challenge (25-Shot)|73.63|
|HellaSwag (10-Shot)              |88.85|
|MMLU (5-Shot)                    |64.22|
|TruthfulQA (0-shot)              |70.78|
|Winogrande (5-shot)              |85.79|
|GSM8k (5-shot)                   |66.49|