FusionNet_linear
Fine-tuned model on English language using linear Fusion method.
Model description
This is an experiment with the linear Fusion method of FusionNet. This model 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. | 74.43 |
| AI2 Reasoning Challenge (25-Shot) | 71.25 |
| HellaSwag (10-Shot) | 88.44 |
| MMLU (5-Shot) | 66.35 |
| TruthfulQA (0-shot) | 71.94 |
| Winogrande (5-shot) | 83.27 |
| GSM8k (5-shot) | 65.35 |
- Downloads last month
- 1,247
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 Leaderboard88.440
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard66.350
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard71.940
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.270
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard65.350