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Iniciando benchmark de 11 modelos...
[gemma4:e2b] General / 2B / Dense
Run 1: prefill=635.98 decode=84.76
Run 2: prefill=1095.17 decode=84.09
Run 3: prefill=1092.58 decode=85.22
-> gemma4:e2b: decode=84.69 tok/s
[gemma4:e4b] General / 4B / Dense
Run 1: prefill=161.56 decode=20.91
Run 2: prefill=420.65 decode=21.48
Run 3: prefill=420.84 decode=21.31
-> gemma4:e4b: decode=21.23 tok/s
[gemma4:26b] General / 26B / MoE
Run 1: prefill=3.83 decode=8.97
Run 2: prefill=226.03 decode=9.55
Run 3: prefill=194.78 decode=9.97
-> gemma4:26b: decode=9.50 tok/s
[qwopus] Reasoning / 27B / IQ3_XS
Run 1: prefill=3.99 decode=3.70
Run 2: prefill=9.29 decode=3.79
Run 3: prefill=8.00 decode=3.79
-> qwopus: decode=3.76 tok/s
[deepseek-r1:14b] Reasoning / 14B / Dense
Run 1: prefill=30.47 decode=4.90
Run 2: prefill=73.63 decode=4.94
Run 3: prefill=74.34 decode=4.89
-> deepseek-r1:14b: decode=4.91 tok/s
[qwen2.5:14b] General / 14B / Dense
Run 1: prefill=93.92 decode=4.82
Run 2: prefill=196.16 decode=4.89
Run 3: prefill=196.91 decode=4.82
-> qwen2.5:14b: decode=4.84 tok/s
[qwen2.5:7b] General / 7B / Dense
Run 1: prefill=574.59 decode=60.49
Run 2: prefill=953.09 decode=61.39
Run 3: prefill=1483.54 decode=61.39
-> qwen2.5:7b: decode=61.09 tok/s
[qwen2.5-coder:7b] Coding / 7B / Dense
Run 1: prefill=222.64 decode=60.80
Run 2: prefill=1504.39 decode=61.20
Run 3: prefill=1492.61 decode=60.58
-> qwen2.5-coder:7b: decode=60.86 tok/s
[mistral:7b] General / 7B / Dense
Run 1: prefill=279.20 decode=59.85
Run 2: prefill=604.70 decode=60.60
Run 3: prefill=411.98 decode=60.62
-> mistral:7b: decode=60.36 tok/s
[phi3:mini] General / 3.8B / Dense
Run 1: prefill=27.76 decode=20.43
Run 2: prefill=283.88 decode=19.89
Run 3: prefill=390.73 decode=20.40
-> phi3:mini: decode=20.24 tok/s
[llama3.2:3b] General / 3B / Dense
Run 1: prefill=690.30 decode=107.59
Run 2: prefill=912.40 decode=107.21
Run 3: prefill=1893.20 decode=108.58
-> llama3.2:3b: decode=107.79 tok/s
Listo: /home/gio/HF_repos/benchmarks/all_models/results.md