Update README.md
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README.md
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If you run with a batch size of 60 you can get a nice throughput even with GEMV:
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[2023-12-20 08:27:03,293 INFO] Loading checkpoint from /mnt/InternalCrucial4/dataAI/mistral-7B/mistral-instruct/mistral-onmt-awq.pt
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[2023-12-20 08:27:03,394 INFO] aawq_gemv compression of layer ['w_1', 'w_2', 'w_3', 'linear_values', 'linear_query', 'linear_keys', 'final_linear']
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[2023-12-20 08:27:08,346 INFO] Loading data into the model
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step0 time: 1.3734617233276367
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[2023-12-20 08:27:28,197 INFO] PRED SCORE: -0.2994, PRED PPL: 1.35 NB SENTENCES: 59
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[2023-12-20 08:27:28,197 INFO] Total translation time (s): 6.4
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[2023-12-20 08:27:28,197 INFO] Average translation time (ms): 109.1
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[2023-12-20 08:27:28,197 INFO] Tokens per second: 1835.8
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Time w/o python interpreter load/terminate: 24.914613008499146
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If you run with a batch size of 60 you can get a nice throughput even with GEMV:
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[2023-12-20 08:27:03,293 INFO] Loading checkpoint from /mnt/InternalCrucial4/dataAI/mistral-7B/mistral-instruct/mistral-onmt-awq.pt
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[2023-12-20 08:27:03,394 INFO] aawq_gemv compression of layer ['w_1', 'w_2', 'w_3', 'linear_values', 'linear_query', 'linear_keys', 'final_linear']
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[2023-12-20 08:27:08,346 INFO] Loading data into the model
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step0 time: 1.3734617233276367
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[2023-12-20 08:27:28,197 INFO] PRED SCORE: -0.2994, PRED PPL: 1.35 NB SENTENCES: 59
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[2023-12-20 08:27:28,197 INFO] Total translation time (s): 6.4
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[2023-12-20 08:27:28,197 INFO] Average translation time (ms): 109.1
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[2023-12-20 08:27:28,197 INFO] Tokens per second: 1835.8
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Time w/o python interpreter load/terminate: 24.914613008499146
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