---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
model-index:
- name: Clover3-17B
  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: 59.9
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Clover3-17B
      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: 81.18
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Clover3-17B
      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: 60.47
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Clover3-17B
      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: 40.72
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Clover3-17B
      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: 78.61
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Clover3-17B
      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: 18.8
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Undi95/Clover3-17B
      name: Open LLM Leaderboard
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/MCwnR7wE07NNsMsTG8CI_.png)

Clover3 is a model made primarely for ERP (Erotic Roleplay), using a base Frankenmerge of 3x Mistral-7B and finetuned on top of it with RP dataset to avoid garbage reply.

This bot is EROTIC most of the time. Be warned!

<!-- description start -->
## Description

This repo contains fp16 files of Clover3-17B.

<!-- description end -->
<!-- description start -->
## Models used

- NurtureAI/neural-chat-7b-v3-16k
- NeverSleep/Noromaid-7b-v0.1.1/
- lemonilia/AshhLimaRP-Mistral-7B

<!-- description end -->
<!-- prompt-template start -->
## Prompt template: Alpaca

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:
```

Thanks to the [MinervaAI Team](https://huggingface.co/MinervaAI) and, in particular, [Gryphe](https://huggingface.co/Gryphe) for letting me use some of his work!

If you want to support me, you can [here](https://ko-fi.com/undiai).

# [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_Undi95__Clover3-17B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |56.61|
|AI2 Reasoning Challenge (25-Shot)|59.90|
|HellaSwag (10-Shot)              |81.18|
|MMLU (5-Shot)                    |60.47|
|TruthfulQA (0-shot)              |40.72|
|Winogrande (5-shot)              |78.61|
|GSM8k (5-shot)                   |18.80|