SOLAR-10.7B-Instruct-v1.0-uncensored
SOLAR-10.7B-Instruct-v1.0 finetuned to be less censored. Refer to upstage/SOLAR-10.7B-Instruct-v1.0 for model info and usage instructions.
Training details
This model was trained using Lora and DPOTrainer on unalignment/toxic-dpo-v0.1
How to Cite
@misc{solarUncensoredDPO,
title={solar-10.7b-instruct-V1.0-uncensored},
url={https://huggingface.co/w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored},
author={Stepan Zuev},
year={2023},
month={Dec}
}
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.56 |
| IFEval (0-Shot) | 38.84 |
| BBH (3-Shot) | 33.86 |
| MATH Lvl 5 (4-Shot) | 0.23 |
| GPQA (0-shot) | 5.93 |
| MuSR (0-shot) | 18.49 |
| MMLU-PRO (5-shot) | 26.04 |
- Downloads last month
- 182
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 w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored
Spaces using w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored 5
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard38.840
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard33.860
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.230
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.930
- acc_norm on MuSR (0-shot)Open LLM Leaderboard18.490
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard26.040