Just to obtain metrics from the HuggingFaceH4/open_llm_leaderboard.
To evaluate the impact of increasing the number of experts, modify the num_experts_per_tok setting in the config.json file from 2 to 3. This alteration aims to specifically determine if such a change leads to any notable improvements in performance metrics.
Other details to note include that the model weights are directly copied from the source available at https://huggingface.co/mistralai/Mixtral-8x7B-v0.1.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 69.09 |
| AI2 Reasoning Challenge (25-Shot) | 67.41 |
| HellaSwag (10-Shot) | 86.63 |
| MMLU (5-Shot) | 71.98 |
| TruthfulQA (0-shot) | 48.58 |
| Winogrande (5-shot) | 82.40 |
| GSM8k (5-shot) | 57.54 |