README.md

---
license: llama2
datasets:
- 922-CA/MoCha_v1
model-index:
- name: monika-ddlc-7b-v1
  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: 54.95
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/monika-ddlc-7b-v1
      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: 76.78
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/monika-ddlc-7b-v1
      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: 45.61
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/monika-ddlc-7b-v1
      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: 43.94
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/monika-ddlc-7b-v1
      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: 72.85
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/monika-ddlc-7b-v1
      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: 8.79
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/monika-ddlc-7b-v1
      name: Open LLM Leaderboard
---
# monika-ddlc-7b-v1:
* LLaMA-2 7b chat fine-tuned for Monika character from DDLC (still somewhat experimental)
* Fine-tuned on a dataset of ~600+ items (dialogue scraped from game, reddit, and Twitter augmented by [l2-7b-monika-v0.3c1](https://huggingface.co/922-CA/llama-2-7b-monika-v0.3c1) to turn each into snippets of multi-turn chat dialogue between Player and Monika; this was then manually edited, with more manually crafted items including info about character added in)
* [GGUFs](https://huggingface.co/922-CA/monika-ddlc-7b-v1-GGUF) (feel free to convert to GGML, or can do it if requested)
* [QLoras](https://huggingface.co/922-CA/monika-lm-lora-tests/tree/main/monika-ddlc-7b-v1)

### USAGE
This is meant to be mainly a chat model with limited RP ability.

For best results: replace "Human" and "Assistant" with "Player" and "Monika" like so:

\nPlayer: (prompt)\nMonika:

### HYPERPARAMS
* Trained for 3 epochs
* rank: 32
* lora alpha: 64
* lora dropout: 0.5
* lr: 2e-4
* batch size: 2
* warmup ratio: 0.1
* grad steps: 4

### WARNINGS AND DISCLAIMERS
This model is meant to closely reflect the characteristics of Monika. Despite this, there is always the chance that "Monika" will hallucinate and get information about herself wrong or act out of character (for example, in testing she usually knows her own club and its members, her game, and even her height and favorite ice cream flavor, but may still get her eye color wrong or mistake her developer as being a member of her club).

Additionally, being character-focused means that this model may not be the smartest model/not as capable as others for simple tasks (not yet tested).

Finally, this model is not guaranteed to output aligned or safe outputs, use at your own risk.

Note: Ideally, would have liked to fine-tune on other models (specifically [Zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha)). May try soon for later versions.
# [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_922-CA__monika-ddlc-7b-v1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |50.49|
|AI2 Reasoning Challenge (25-Shot)|54.95|
|HellaSwag (10-Shot)              |76.78|
|MMLU (5-Shot)                    |45.61|
|TruthfulQA (0-shot)              |43.94|
|Winogrande (5-shot)              |72.85|
|GSM8k (5-shot)                   | 8.79|