FusionNet
Fine-tuned model on English language using Fusion method.
Model description
The FusionNet is a model to experiment with the "Fusion" method, which could significantly increase the performance of the original model. The FusionNet has 10.7B parameters, and this model is fine-tuned. Enjoy!
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 74.38 |
| AI2 Reasoning Challenge (25-Shot) | 71.25 |
| HellaSwag (10-Shot) | 88.42 |
| MMLU (5-Shot) | 66.36 |
| TruthfulQA (0-shot) | 71.95 |
| Winogrande (5-shot) | 83.27 |
| GSM8k (5-shot) | 65.05 |
- Downloads last month
- 1,265
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.
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard71.250
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.420
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard66.360
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard71.950
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.270
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard65.050