README.md

---
language:
- en
license: apache-2.0
tags:
- conversational
datasets:
- Intel/orca_dpo_pairs
- Locutusque/Hercules-v3.0
inference:
  parameters:
    do_sample: true
    temperature: 0.8
    top_p: 0.95
    top_k: 40
    min_new_tokens: 2
    max_new_tokens: 250
    repetition_penalty: 1.1
widget:
- text: Hello who are you?
  example_title: Identity
- text: What can you do?
  example_title: Capabilities
- text: Create a fastapi endpoint to retrieve the weather given a zip code.
  example_title: Coding
model-index:
- name: NeuralReyna-Mini-1.8B-v0.2
  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: 37.8
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
      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: 60.51
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
      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: 45.04
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
      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: 37.75
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
      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: 60.93
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
      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: 27.07
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.2
      name: Open LLM Leaderboard
---
# NeuralReyna-Mini-1.8B-v0.2
![Reyna image](https://th.bing.com/th/id/OIG3.8IBxuT77hh6Y_r1DZ6WK?dpr=2.6&pid=ImgDetMain)
# Description
Taken aloobun/Reyna-Mini-1.8B-v0.2 and further fine-tuned it using DPO using the Intel/orca_dpo_pairs dataset. 

This model has capabilities in coding, math, science, roleplay, and function calling. 

This model was trained on OpenAI's ChatML prompt format.
# Evaluation
AGIEval:
![image/png](/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F6437292ecd93f4c9a34b0d47%2FeQXYDTQYMaVii-_U0vewF.png%3C%2Fspan%3E)%3C!-- HTML_TAG_END -->

GPT4ALL:
|    Tasks    |Version|Filter|n-shot| Metric |Value |   |Stderr|
|-------------|------:|------|-----:|--------|-----:|---|-----:|
|arc_challenge|      1|none  |     0|acc     |0.3208|±  |0.0136|
|             |       |none  |     0|acc_norm|0.3336|±  |0.0138|
|arc_easy     |      1|none  |     0|acc     |0.6035|±  |0.0100|
|             |       |none  |     0|acc_norm|0.5833|±  |0.0101|
|boolq        |      2|none  |     0|acc     |0.6526|±  |0.0083|
|hellaswag    |      1|none  |     0|acc     |0.4556|±  |0.0050|
|             |       |none  |     0|acc_norm|0.6076|±  |0.0049|
|openbookqa   |      1|none  |     0|acc     |0.2600|±  |0.0196|
|             |       |none  |     0|acc_norm|0.3460|±  |0.0213|
|piqa         |      1|none  |     0|acc     |0.7236|±  |0.0104|
|             |       |none  |     0|acc_norm|0.7307|±  |0.0104|
|winogrande   |      1|none  |     0|acc     |0.6062|±  |0.0137|


# Disclaimer

This model may have overfitted to the DPO training data, and may not perform well. 

# Contributions

Thanks to @aloobun and @Locutusque for their contributions to this model. 
# [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_M4-ai__NeuralReyna-Mini-1.8B-v0.2)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |44.85|
|AI2 Reasoning Challenge (25-Shot)|37.80|
|HellaSwag (10-Shot)              |60.51|
|MMLU (5-Shot)                    |45.04|
|TruthfulQA (0-shot)              |37.75|
|Winogrande (5-shot)              |60.93|
|GSM8k (5-shot)                   |27.07|