KTO Fine tuning!
A KTO version EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math
Uploaded model
- Developed by: EpistemeAI2
- License: apache-2.0
- Finetuned from model : EpistemeAI2/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.90 |
| IFEval (0-Shot) | 72.74 |
| BBH (3-Shot) | 26.90 |
| MATH Lvl 5 (4-Shot) | 13.22 |
| GPQA (0-shot) | 4.03 |
| MuSR (0-shot) | 4.28 |
| MMLU-PRO (5-shot) | 28.26 |
- Downloads last month
- 2,655
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard72.740
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard26.900
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard13.220
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.030
- acc_norm on MuSR (0-shot)Open LLM Leaderboard4.280
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.260