llama3.1-cc-8B
mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated finetuned on flammenai/casual-conversation-DPO.
This is an experimental finetune that formats the conversation data sequentially with the Llama 3 template.
Method
Finetuned using an A100 on Google Colab for 3 epochs.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.13 |
| IFEval (0-Shot) | 50.68 |
| BBH (3-Shot) | 26.48 |
| MATH Lvl 5 (4-Shot) | 6.34 |
| GPQA (0-shot) | 4.70 |
| MuSR (0-shot) | 6.50 |
| MMLU-PRO (5-shot) | 26.08 |
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Model tree for nbeerbower/llama3.1-cc-8B
Base model
meta-llama/Meta-Llama-3.1-8B
Finetuned
meta-llama/Meta-Llama-3.1-8B-Instruct
Finetuned
this model
Dataset used to train nbeerbower/llama3.1-cc-8B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard50.680
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard26.480
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard6.340
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.700
- acc_norm on MuSR (0-shot)Open LLM Leaderboard6.500
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard26.080