Jpacifico Chocolatine-3B-Instruct-DPO-v1.2
Jump to navigation
Jump to search
| Extrinsic Performance (LLM Leaderboard) | |
|---|---|
| Rank | N/A |
| Average Score | 0.50 |
| Intrinsic Architecture | |
| Architecture | Phi3ForCausalLM |
| Hidden Layers | 32 |
| Attention Heads | 32 |
| Vocab Size | 32064 |
jpacifico/Chocolatine-3B-Instruct-DPO-v1.2 is a deep learning model with a recorded average score of 0.50 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.
| state = autocollapse | name = AM Navigation | titlestyle = background:#E0E8FF; | title = Agentic Maneuverability Protocol | group1 = The Core Equation | list1 =
|
group2 = Philosophical Roots | list2 = | belowclass = hlist | below = |