Details
Introducing Garten2-7B, a cutting-edge, small 7B all-purpose Language Model (LLM), designed to redefine the boundaries of artificial intelligence in natural language understanding and generation. Garten2-7B stands out with its unique architecture, expertly crafted to deliver exceptional performance in a wide array of tasks, from conversation to content creation.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 72.65 |
| AI2 Reasoning Challenge (25-Shot) | 69.37 |
| HellaSwag (10-Shot) | 87.54 |
| MMLU (5-Shot) | 65.44 |
| TruthfulQA (0-shot) | 59.50 |
| Winogrande (5-shot) | 84.69 |
| GSM8k (5-shot) | 69.37 |
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Model tree for senseable/garten2-7b
Base model
mistralai/Mistral-7B-v0.1Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard69.370
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.540
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.440
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard59.500
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard84.690
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard69.370