EXL3 Quants of Steelskull/L3.3-Nevoria-R1-70b
EXL3 quants of Steelskull/L3.3-Nevoria-R1-70b using exllamav3 for quantization.
Quants
| Quant(Revision) | Bits per Weight | Head Bits |
|---|---|---|
| 2.5_H6 | 2.5 | 6 |
| 3.0_H6 | 3.0 | 6 |
| 3.5_H6 | 3.5 | 6 |
| 3.75_H6 | 3.75 | 6 |
| 4.0_H6 | 4.0 | 6 |
| 4.25_H6 | 4.25 | 6 |
| 4.5_H6 | 4.5 | 6 |
| 5.0_H6 | 5.0 | 6 |
| 6.0_H6 | 6.0 | 6 |
| 8.0_H6 | 8.0 | 6 |
| 8.0_H8 | 8.0 | 8 |
Downloading quants with huggingface-cli
Click to view download instructions
Install hugginface-cli:
pip install -U "huggingface_hub[cli]"
Download quant by targeting the specific quant revision (branch):
huggingface-cli download ArtusDev/Steelskull_L3.3-Nevoria-R1-70b-EXL3 --revision "5.0bpw_H6" --local-dir ./
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Model tree for ArtusDev/Steelskull_L3.3-Nevoria-R1-70b-EXL3
Base model
Steelskull/L3.3-Nevoria-R1-70bEvaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard60.240
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard56.170
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard46.680
- acc_norm on GPQA (0-shot)Open LLM Leaderboard29.190
- acc_norm on MuSR (0-shot)Open LLM Leaderboard20.190
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard49.590