Tiny Vicuna 1B
This model is a fine-tuned version of TinyLlama on WizardVicuna Dataset. It should be fully compatible with Vicuna-v1.5 series.
This model is easy to iterate on for early experiments!
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 34.76 |
| AI2 Reasoning Challenge (25-Shot) | 33.45 |
| HellaSwag (10-Shot) | 55.92 |
| MMLU (5-Shot) | 25.45 |
| TruthfulQA (0-shot) | 33.82 |
| Winogrande (5-shot) | 58.41 |
| GSM8k (5-shot) | 1.52 |
- Downloads last month
- 33,610
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 Jiayi-Pan/Tiny-Vicuna-1B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard33.450
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard55.920
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard25.450
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard33.820
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard58.410
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard1.520