niro is an improvement over the excellent WizardLM-Evol-V2-Unfiltered model, which at the time of writting is one of the best 1.8 billion parameters models. Keep in mind, nero is an un-trained merge, further improvements are yet to come.
benchmarks
zero-shot evaluations performed on current sota small models; mmlu is still the reason qwen models are better on average. Currently, niro is on par with the best language model below 2b parameters.
| Parameters | Model | MMLU | ARC | HellaSwag | PIQA | Winogrande | Average |
|---|---|---|---|---|---|---|---|
| 0.5b | qwen 2.5 | 47.29 | 31.83 | 52.17 | 70.29 | 57.06 | 51.72 |
| 0.5b | arco | 26.17 | 37.29 | 62.88 | 74.37 | 62.27 | 52.60 |
| 0.5b | arco (exp) | 25.51 | 38.82 | 63.02 | 74.70 | 61.25 | 52.66 |
| 1.7b | smollm | 27.65 | 46.26 | 65.74 | 76.06 | 60.93 | 55.33 |
| 1.8B | niro-preview | 41.75 | 40.96 | 72.07 | 77.97 | 65.51 | 59.65 |
| 1.5b | qwen 2.5 | 58.68 | 44.71 | 67.62 | 75.73 | 62.67 | 61.88 |
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