---
language:
- en
license: llama3
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
base_model: unsloth/llama-3-8b-bnb-4bit
model-index:
- name: Llama-3-natsuki-ddlc-8b-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: 60.32
      name: normalized accuracy
    source:
      url: >-
        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/Llama-3-natsuki-ddlc-8b-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: 80.99
      name: normalized accuracy
    source:
      url: >-
        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/Llama-3-natsuki-ddlc-8b-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: 64.75
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/Llama-3-natsuki-ddlc-8b-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: 45.41
    source:
      url: >-
        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/Llama-3-natsuki-ddlc-8b-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: 78.77
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/Llama-3-natsuki-ddlc-8b-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: 41.85
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=922-CA/Llama-3-natsuki-ddlc-8b-v1
      name: Open LLM Leaderboard
datasets:
- 922-CA/NaChA_v1
---

# Llama-3-Natsuki-DDLC-8b-v1
* Model fine-tuned for Natsuki character from DDLC
* Base: [LLaMA-3](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
* [GGUFs](https://huggingface.co/922-CA/Llama-3-natsuki-ddlc-8b-v1-gguf)

### USAGE
For best results: replace "Human" and "Assistant" with "Player" and "Natsuki" like so:

\nPlayer: (prompt)\nNatsuki:

### HYPERPARAMS
* Trained for 1 epoch
* rank: 32
* lora alpha: 32
* lora dropout: 0
* lr: 2e-4
* batch size: 2
* grad steps: 4

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

### WARNINGS AND DISCLAIMERS
This model is meant to closely reflect the characteristics of Natsuki. Despite this, there is always the chance that "Natsuki" will hallucinate and get information about herself wrong or act out of character.

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

# [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__Llama-3-natsuki-ddlc-8b-v1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |62.02|
|AI2 Reasoning Challenge (25-Shot)|60.32|
|HellaSwag (10-Shot)              |80.99|
|MMLU (5-Shot)                    |64.75|
|TruthfulQA (0-shot)              |45.41|
|Winogrande (5-shot)              |78.77|
|GSM8k (5-shot)                   |41.85|