ReWiz
Collection
The ReWiz series is based on a subset of data from 3 different data sets, which has been used for fine tuning.
•
13 items
•
Updated
•
1
Half the data was geared towards better reasoning (EvolKit-20k and reasoning-base-20k), the other half will help to de-censor the model (WizardLM data set).
Looking for GGUF?
There is a separate upload for that! Download theprint/ReWiz-Nemo-12B-Instruct-GGUF instead.
Uploaded model
- Developed by: theprint
- License: apache-2.0
- Finetuned from model : unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit
This mistral 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. | 15.63 |
| IFEval (0-Shot) | 10.62 |
| BBH (3-Shot) | 29.93 |
| MATH Lvl 5 (4-Shot) | 7.18 |
| GPQA (0-shot) | 9.84 |
| MuSR (0-shot) | 10.23 |
| MMLU-PRO (5-shot) | 25.99 |
- Downloads last month
- 20
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 theprint/ReWiz-Nemo-12B-Instruct
Base model
unsloth/Mistral-Nemo-Instruct-2407-bnb-4bitCollection including theprint/ReWiz-Nemo-12B-Instruct
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard10.620
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard29.930
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard7.180
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.840
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.230
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard25.990