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martyn
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solar-megamerge-dare-10.7b-v1

Text Generation
Transformers
Safetensors
PyTorch
English
llama
dare
super mario merge
solar
Merge
text-generation-inference
Model card Files Community
1
solar-megamerge-dare-10.7b-v1
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---
language:
- en
license: apache-2.0
tags:
- dare
- super mario merge
- pytorch
- solar
- merge
pipeline_tag: text-generation
inference: false
model-index:
- name: solar-megamerge-dare-10.7b-v1
  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: 66.13
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1
      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: 85.3
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1
      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: 66.03
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1
      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: 54.33
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1
      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: 82.95
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1
      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: 58.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/solar-megamerge-dare-10.7b-v1
      name: Open LLM Leaderboard
---

# solar megamerge 10.7b

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

## Mergelist

```
models:
  - model: upstage/SOLAR-10.7B-v1.0
  - model: upstage/SOLAR-10.7B-Instruct-v1.0
    parameters:
      weight: 0.20
      density: 0.8
  - model: kyujinpy/SOLAR-Platypus-10.7B-v1
    parameters:
      weight: 0.19
      density: 0.75
  - model: We-Want-GPU/SOLAR-10.7B-orca-alpaca-gpt4-math
    parameters:
      weight: 0.18
      density: 0.75
  - model: maywell/Synatra-10.7B-v0.4
    parameters:
      weight: 0.18
      density: 0.7
  - model: kyujinpy/SOLAR-Platypus-10.7B-v2
    parameters:
      weight: 0.17
      density: 0.7
  - model: Sao10K/Frostwind-10.7B-v1
    parameters:
      weight: 0.16
      density: 0.65
  - model: rishiraj/meow
    parameters:
      weight: 0.15
      density: 0.6
```

## Merge command

```
python3 hf_merge.py mergelist.yaml solar-1
```

### Notes

* in the yaml: `p=weight` and `lambda=1/density`

# [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__solar-megamerge-dare-10.7b-v1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |68.79|
|AI2 Reasoning Challenge (25-Shot)|66.13|
|HellaSwag (10-Shot)              |85.30|
|MMLU (5-Shot)                    |66.03|
|TruthfulQA (0-shot)              |54.33|
|Winogrande (5-shot)              |82.95|
|GSM8k (5-shot)                   |58.00|