ReWiz
Collection
The ReWiz series is based on a subset of data from 3 different data sets, which has been used for fine tuning.
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11 items
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Updated
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ReWiz-7B
This is a fine tune of Mistral 7B Instruct (0.3). 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).
Uploaded model
- Developed by: theprint
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.3-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. | 17.54 |
| IFEval (0-Shot) | 40.48 |
| BBH (3-Shot) | 23.50 |
| MATH Lvl 5 (4-Shot) | 2.57 |
| GPQA (0-shot) | 3.36 |
| MuSR (0-shot) | 16.74 |
| MMLU-PRO (5-shot) | 18.56 |
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Model tree for theprint/ReWiz-7B
Base model
unsloth/mistral-7b-instruct-v0.3-bnb-4bitDatasets used to train theprint/ReWiz-7B
Collection including theprint/ReWiz-7B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard40.480
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard23.500
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard2.570
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.360
- acc_norm on MuSR (0-shot)Open LLM Leaderboard16.740
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard18.560