NeuralOrca-7B-v1 / README.md
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Adding Evaluation Results (#3)
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metadata
license: apache-2.0
tags:
  - merge
model-index:
  - name: NeuralOrca-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: 65.27
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mrfakename/NeuralOrca-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: 85.07
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mrfakename/NeuralOrca-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: 63.68
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mrfakename/NeuralOrca-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: 54.58
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mrfakename/NeuralOrca-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: 78.77
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mrfakename/NeuralOrca-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: 58.45
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mrfakename/NeuralOrca-7B-v1
          name: Open LLM Leaderboard

WARNING! This is a "Frankenmerge" - this model is untested!

NeuralOrca 7B V1

GGUF Models

By mrfakename

Please note that this is an experimental model. We cannot guarantee model quality.

This is the first (alpha) release of NeuralOrca. NeuralOrca is a merge of the following models:

Prompt Format

We use the ChatML prompt format.

Example:

<|im_start|>system
You are NeuralOrca, a helpful AI assistant.
<|im_end|>
<|im_start|>user
How are you?<|im_end|>
<|im_start|>assistant

Evaluations

Coming soon

Context Length

The context length for this model is 8192 tokens (8K).

License

You are responsible for your use of NeuralOrca.

This software is licensed under the Apache 2.0 license. If you want to use it for commercial use, it's probably fine but please contact me first.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 67.64
AI2 Reasoning Challenge (25-Shot) 65.27
HellaSwag (10-Shot) 85.07
MMLU (5-Shot) 63.68
TruthfulQA (0-shot) 54.58
Winogrande (5-shot) 78.77
GSM8k (5-shot) 58.45