FusionNet
Fine-tuned model on English language using single passthrough Fusion method.
Model description
The FusionNet is a model to experiment with the single passthrough Fusion method, which could significantly increase the performance of the original model. The FusionNet has 21.2B parameters, and this model is fine-tuned. Enjoy!
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 65.74 |
| AI2 Reasoning Challenge (25-Shot) | 69.45 |
| HellaSwag (10-Shot) | 87.79 |
| MMLU (5-Shot) | 65.20 |
| TruthfulQA (0-shot) | 67.67 |
| Winogrande (5-shot) | 81.53 |
| GSM8k (5-shot) | 22.82 |
- Downloads last month
- 1,044
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for TomGrc/FusionNet_passthrough_v0.1
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard69.450
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.790
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.200
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard67.670
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard81.530
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard22.820