Llama-3-Natsuki-DDLC-8b-v1
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 and Huggingface's TRL library.
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
Detailed results can be found here
| 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 |
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Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for 922-CA/Llama-3-natsuki-ddlc-8b-v1
Base model
meta-llama/Meta-Llama-3-8B
Quantized
unsloth/llama-3-8b-bnb-4bit
Dataset used to train 922-CA/Llama-3-natsuki-ddlc-8b-v1
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard60.320
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard80.990
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.750
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard45.410
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.770
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard41.850