README.md

---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- roleplay
- text-generation-inference
model-index:
- name: EstopianMaid-13B
  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: 60.49
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KatyTheCutie/EstopianMaid-13B
      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: 83.49
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KatyTheCutie/EstopianMaid-13B
      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: 56.18
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KatyTheCutie/EstopianMaid-13B
      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: 52.35
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KatyTheCutie/EstopianMaid-13B
      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: 75.53
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KatyTheCutie/EstopianMaid-13B
      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: 9.17
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KatyTheCutie/EstopianMaid-13B
      name: Open LLM Leaderboard
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/653a2392341143f7774424d8/fyK_RtEjb9sLF_Mq0nZm2.png)

Based on feedback Estopian made can:

- EstopianMaid is good at sticking to the character card.
- maintains coherency in a setting with multiple characters.
- Able to create new scenario's

- Feature from Thespis:

![image/webp](https://cdn-uploads.huggingface.co/production/uploads/653a2392341143f7774424d8/1Z4P7XshVOW8fLg9pey4H.webp)

- Prompt Template: Alpaca
   ### Instruction:
   {prompt}

   ### Response:

Recommended settings:
- SillyTavern Default Preset.
- Temperature: 0.7
- Min-P: 0.3
- Amount to Gen: 256
- Top P: 1
- Repetition penalty: 1.10

Models used:

    BlueNipples/TimeCrystal-l2-13B
    cgato/Thespis-13b-DPO-v0.7
    KoboldAI/LLaMA2-13B-Estopia
    NeverSleep/Noromaid-13B-0.4-DPO
    Doctor-Shotgun/cat-v1.0-13b

Feedback is always appreciated!
Thank you KoboldAI for their usage of their MergeBox and Caitlyn G. for their support and feedback.
# [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_KatyTheCutie__EstopianMaid-13B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |56.20|
|AI2 Reasoning Challenge (25-Shot)|60.49|
|HellaSwag (10-Shot)              |83.49|
|MMLU (5-Shot)                    |56.18|
|TruthfulQA (0-shot)              |52.35|
|Winogrande (5-shot)              |75.53|
|GSM8k (5-shot)                   | 9.17|