---
language:
- en
license: cc-by-nc-4.0
tags:
- mistral
datasets:
- pankajmathur/orca_mini_v1_dataset
- openai/summarize_from_feedback
- PygmalionAI/PIPPA
- chargoddard/rpguild
- lemonilia/LimaRP
model-index:
- name: loyal-piano-m7
  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: 66.72
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/loyal-piano-m7
      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: 85.03
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/loyal-piano-m7
      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: 64.43
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/loyal-piano-m7
      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: 60.03
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/loyal-piano-m7
      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: 79.08
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/loyal-piano-m7
      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: 56.71
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=chargoddard/loyal-piano-m7
      name: Open LLM Leaderboard
---

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)

Experimenting with dataset ratios. Intended to be a roleplay-focused model with some smarts and good long-context recall.

Not sure if I've succeeded on the roleplay front, but something sure went right! Currently the #4 7B model on the leaderboard as of 11/30/2023. Going to riff on this and see where it goes.

| model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | DROP |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| fblgit/juanako-7b-UNA | 59.91 | 68.17 | 85.34 | 62.47 | 65.13 | 78.85 | 20.7 | 38.74 |
| Intel/neural-chat-7b-v3-1 | 59.06 | 66.21 | 83.64 | 62.37 | 59.65 | 78.14 | 19.56 | 43.84 |
| Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B | 58.6 | 66.55 | 84.47 | 63.34 | 61.22 | 78.37 | 23.58 | 32.66 |
| **chargoddard/loyal-piano-m7** | 58.42 | 66.72 | 85.03 | 64.43 | 60.03 | 79.08 | 25.7 | 27.92 |
| Gryphe/MythoMist7b | 58.26 | 65.87 | 83.55 | 62.32 | 59.98 | 78.06 | 20.24 | 37.82 | 


Dataset composition:
| dataset | rows used | percent of total |
| --- | --- | --- |
| PIPPA | 14.6k | 43% |
| summarize_from_feedback | 9k | 26% |
| orca_mini_v1_dataset | 5.6k | 17% |
| rpguild | 2.86k | 8% |
| LimaRP | 2k | 6% |
# [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_chargoddard__loyal-piano-m7)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |68.67|
|AI2 Reasoning Challenge (25-Shot)|66.72|
|HellaSwag (10-Shot)              |85.03|
|MMLU (5-Shot)                    |64.43|
|TruthfulQA (0-shot)              |60.03|
|Winogrande (5-shot)              |79.08|
|GSM8k (5-shot)                   |56.71|