System prompt:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful, respectful and honest assistant. Always answer as helpfully as possible. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. <|eot_id|>
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 15.81 |
| IFEval (0-Shot) | 32.33 |
| BBH (3-Shot) | 22.06 |
| MATH Lvl 5 (4-Shot) | 5.29 |
| GPQA (0-shot) | 3.80 |
| MuSR (0-shot) | 8.82 |
| MMLU-PRO (5-shot) | 22.57 |
- Downloads last month
- 17
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 netcat420/MFANNv0.21
Dataset used to train netcat420/MFANNv0.21
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard32.330
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard22.060
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.290
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.800
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.820
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard22.570