6bpw exl2 quant of: https://huggingface.co/flammenai/Flammades-Mistral-Nemo-12B
Flammades-Mistral-Nemo-12B
nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2 finetuned on flammenai/Date-DPO-NoAsterisks and jondurbin/truthy-dpo-v0.1.
Method
ORPO tuned with 2x RTX 3090 for 3 epochs.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 22.34 |
| IFEval (0-Shot) | 38.42 |
| BBH (3-Shot) | 32.39 |
| MATH Lvl 5 (4-Shot) | 6.19 |
| GPQA (0-shot) | 7.16 |
| MuSR (0-shot) | 20.31 |
| MMLU-PRO (5-shot) | 29.57 |
- Downloads last month
- 2
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 Jellon/Flammades-Mistral-Nemo-12B-exl2-6bpw
Base model
winglian/m12b-20240721-test010Datasets used to train Jellon/Flammades-Mistral-Nemo-12B-exl2-6bpw
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard38.420
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.390
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard6.190
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.160
- acc_norm on MuSR (0-shot)Open LLM Leaderboard20.310
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.570