Fblgit TheBeagle-v2beta-32B-MGS
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| Extrinsic Performance (LLM Leaderboard) | |
|---|---|
| Rank | N/A |
| Average Score | 0.63 |
| Intrinsic Architecture | |
| Architecture | Qwen2ForCausalLM |
| Hidden Layers | 64 |
| Attention Heads | 40 |
| Vocab Size | 152064 |
fblgit/TheBeagle-v2beta-32B-MGS is a deep learning model with a recorded average score of 0.63 on the Open LLM Leaderboard.
Performance Metrics
- ARC Score: N/A
- HellaSwag Score: N/A
- MMLU Score: N/A
This page was last updated automatically by the Almanac Ingestor bot.
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