---
language:
- en
license: cc-by-nc-sa-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- PygmalionAI/pygmalion-2-13b
- Undi95/Amethyst-13B
inference: false
model-index:
- name: Supernova-experimental
  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: 63.05
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      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: 83.66
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      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: 56.59
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      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: 49.37
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      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: 77.35
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      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: 28.73
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=theNovaAI/Supernova-experimental
      name: Open LLM Leaderboard
---
## Supernova-experimental
Quantized to 4bit 128g using AutoGPTQ and 🤗 Optimum

This is an experimental model that was created for the development of NovaAI.

Good at chatting and some RP.

## Prompt Template: Alpaca

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:
```

### Models Merged

The following models were included in the merge:
* [PygmalionAI/pygmalion-2-13b](https://huggingface.co/PygmalionAI/pygmalion-2-13b)
* [Undi95/Amethyst-13B](https://huggingface.co/Undi95/Amethyst-13B)
# [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_theNovaAI__Supernova-experimental)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |59.79|
|AI2 Reasoning Challenge (25-Shot)|63.05|
|HellaSwag (10-Shot)              |83.66|
|MMLU (5-Shot)                    |56.59|
|TruthfulQA (0-shot)              |49.37|
|Winogrande (5-shot)              |77.35|
|GSM8k (5-shot)                   |28.73|