Qingy2019 Qwen2.5-Math-14B-Instruct-Alpha
Jump to navigation
Jump to search
| Extrinsic Performance (LLM Leaderboard) | |
|---|---|
| Rank | N/A |
| Average Score | 0.58 |
| Intrinsic Architecture | |
| Architecture | Qwen2ForCausalLM |
| Hidden Layers | 48 |
| Attention Heads | 40 |
| Vocab Size | 152064 |
qingy2019/Qwen2.5-Math-14B-Instruct-Alpha is a deep learning model with a recorded average score of 0.58 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 = |