---
language:
- en
license: cc-by-nc-4.0
model-index:
- name: 2x-LoRA-Assemble-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: 63.65
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/2x-LoRA-Assemble-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: 83.47
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/2x-LoRA-Assemble-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: 59.82
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/2x-LoRA-Assemble-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: 55.94
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/2x-LoRA-Assemble-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: 76.48
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/2x-LoRA-Assemble-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: 9.25
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/2x-LoRA-Assemble-13B
      name: Open LLM Leaderboard
---
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Merge of [oh-yeontaek/llama-2-13B-LoRA-assemble](https://huggingface.co/oh-yeontaek/llama-2-13B-LoRA-assemble) and [oh-yeontaek/llama-2-13B-LoRA-assemble](https://huggingface.co/oh-yeontaek/llama-2-13B-LoRA-assemble) using ties merge. (It is weird, it was a mistake but the score is 0.01 point better)

### *Weights*

- [oh-yeontaek/llama-2-13B-LoRA-assemble](https://huggingface.co/oh-yeontaek/llama-2-13B-LoRA-assemble): 0.5

- [oh-yeontaek/llama-2-13B-LoRA-assemble](https://huggingface.co/oh-yeontaek/llama-2-13B-LoRA-assemble): 0.3

### *Density*

- [oh-yeontaek/llama-2-13B-LoRA-assemble](https://huggingface.co/oh-yeontaek/llama-2-13B-LoRA-assemble): 0.5

- [oh-yeontaek/llama-2-13B-LoRA-assemble](https://huggingface.co/oh-yeontaek/llama-2-13B-LoRA-assemble): 0.5


# [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_PulsarAI__2x-LoRA-Assemble-13B)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 51.52   |
| ARC (25-shot)         | 63.65          |
| HellaSwag (10-shot)   | 83.47    |
| MMLU (5-shot)         | 59.82         |
| TruthfulQA (0-shot)   | 55.94   |
| Winogrande (5-shot)   | 76.48   |
| GSM8K (5-shot)        | 9.25        |
| DROP (3-shot)         | 12.01         |

# [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_PulsarAI__2x-LoRA-Assemble-13B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |58.10|
|AI2 Reasoning Challenge (25-Shot)|63.65|
|HellaSwag (10-Shot)              |83.47|
|MMLU (5-Shot)                    |59.82|
|TruthfulQA (0-shot)              |55.94|
|Winogrande (5-shot)              |76.48|
|GSM8k (5-shot)                   | 9.25|