Sakalti ultiima-14B-v0.4: Difference between revisions
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Latest revision as of 19:57, 8 August 2025
| Extrinsic Performance (LLM Leaderboard) | |
|---|---|
| Rank | N/A |
| Average Score | 0.59 |
| Intrinsic Architecture | |
| Architecture | Qwen2ForCausalLM |
| Hidden Layers | 48 |
| Attention Heads | 40 |
| Vocab Size | 151665 |
Sakalti/ultiima-14B-v0.4 is a deep learning model with a recorded average score of 0.59 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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