BEE-spoke-data smol llama-101M-GQA: Difference between revisions
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Latest revision as of 20:21, 8 August 2025
| Extrinsic Performance (LLM Leaderboard) | |
|---|---|
| Rank | N/A |
| Average Score | 0.30 |
| Intrinsic Architecture | |
| Architecture | LlamaForCausalLM |
| Hidden Layers | 6 |
| Attention Heads | 24 |
| Vocab Size | 32128 |
BEE-spoke-data/smol_llama-101M-GQA is a deep learning model with a recorded average score of 0.30 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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