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I sent an ingest.py on a 1,500 pages pdf : I am on for a week and it keeps on running...
There is no any difference in the files inside /db ..? It keeps running, showing
llama_print_timings: load time = 626.40 ms
llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per run)
llama_print_timings: prompt eval time = 17582.92 ms / 118 tokens ( 149.01 ms per token)
llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per run)
llama_print_timings: total time = 17616.38 ms
Of course values change according to total_time
Is there anyone that succeed ingest a "reasonably big pdf" ??
My aim is to ingest few pdf, each containing over 1,000 pages. Is that even possible?
My HD is not the best, but it is crazzy fast in other scenarii :
Intel i5 13600K
32GB RAM
660M motherboard.
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I sent an ingest.py on a 1,500 pages pdf : I am on for a week and it keeps on running...
There is no any difference in the files inside /db ..? It keeps running, showing
llama_print_timings: load time = 626.40 ms
llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per run)
llama_print_timings: prompt eval time = 17582.92 ms / 118 tokens ( 149.01 ms per token)
llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per run)
llama_print_timings: total time = 17616.38 ms
Of course values change according to total_time
Is there anyone that succeed ingest a "reasonably big pdf" ??
My aim is to ingest few pdf, each containing over 1,000 pages. Is that even possible?
My HD is not the best, but it is crazzy fast in other scenarii :
Intel i5 13600K
32GB RAM
660M motherboard.
Please input your thoughts; thanks :)
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