README.md

metadata

language:
  - en
license: cc-by-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
• Undi95/Amethyst-13B

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

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