BenevolenceMessiah Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0: Difference between revisions
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Latest revision as of 21:02, 8 August 2025
| Extrinsic Performance (LLM Leaderboard) | |
|---|---|
| Rank | N/A |
| Average Score | 0.45 |
| Intrinsic Architecture | |
| Architecture | MixtralForCausalLM |
| Hidden Layers | 48 |
| Attention Heads | 32 |
| Vocab Size | 64000 |
BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0 is a deep learning model with a recorded average score of 0.45 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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