README.md

---
license: apache-2.0
model-index:
- name: OpenHermes-7B-Reasoner
  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: 63.14
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hedronstone/OpenHermes-7B-Reasoner
      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: 82.73
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hedronstone/OpenHermes-7B-Reasoner
      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: 62.62
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hedronstone/OpenHermes-7B-Reasoner
      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: 48.82
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hedronstone/OpenHermes-7B-Reasoner
      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: 75.85
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hedronstone/OpenHermes-7B-Reasoner
      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: 53.45
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hedronstone/OpenHermes-7B-Reasoner
      name: Open LLM Leaderboard
---
**OpenHermes-7B-Symbolic**
<img src="https://i.ibb.co/zJJyywL/DALL-E-2023-12-10-22-19-40-A-digital-art-piece-that-creatively-represents-the-famous-Thinking-Man-st.png" width="45%" height="auto">

## Model description
OpenHermes-7B-Symbolic is a OpenHermes-2.5-Mistral-7B fine-tuned on 93K comprehensive and meticulously curated samples. 
Each sample was structured to facilitate the model's understanding and generation of complex, hierarchical ICD medical coding system. 

| Benchmark   | OpenHermes-7B-Symbolic | OpenHermes-2.5-Mistral-7B |
|-------------|------------------------|---------------------------|
| Average     | 64.44                  | 65.26                     |
| ARC         | 63.14                  | 64.93                     |
| HellaSwag   | 82.73                  | 84.18                     |
| MMLU        | 62.62                  | 63.64                     |
| TruthfulQA  | 48.82                  | 52.24                     |
| Winogrande  | 75.85                  | 78.06                     |
| GSM8K       | 53.45                  | 48.52                     |

# [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_hedronstone__OpenHermes-7B-Reasoner)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |64.44|
|AI2 Reasoning Challenge (25-Shot)|63.14|
|HellaSwag (10-Shot)              |82.73|
|MMLU (5-Shot)                    |62.62|
|TruthfulQA (0-shot)              |48.82|
|Winogrande (5-shot)              |75.85|
|GSM8k (5-shot)                   |53.45|