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mark3748

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Feb 13th, 2025
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  1. > llm_benchmark run
  2. Total memory size : 31.72 GB
  3. cpu_info: 13th Gen Intel(R) Core(TM) i9-13900K
  4. gpu_info: NVIDIA GeForce RTX 3080 Ti
  5. os_version: Microsoft Windows 11 Pro
  6.  
  7. ollama_version: 0.5.9
  8. ----------
  9. LLM models file path:C:\Users\mark3\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\llm_benchmark\data\benchmark_models_32gb_ram.yml
  10. Checking and pulling the following LLM models
  11. phi4:14b
  12. deepseek-r1:14b
  13. deepseek-r1:32b
  14. ----------
  15. model_name = phi4:14b
  16. prompt = Write a step-by-step guide on how to bake a chocolate cake from scratch.
  17. eval rate: 13.98 tokens/s
  18. prompt = Develop a python function that solves the following problem, sudoku game
  19. eval rate: 13.73 tokens/s
  20. prompt = Create a dialogue between two characters that discusses economic crisis
  21. eval rate: 13.60 tokens/s
  22. prompt = In a forest, there are brave lions living there. Please continue the story.
  23. eval rate: 13.81 tokens/s
  24. prompt = I'd like to book a flight for 4 to Seattle in U.S.
  25. eval rate: 14.51 tokens/s
  26. --------------------
  27. Average of eval rate: 13.926 tokens/s
  28. ----------------------------------------
  29. model_name = deepseek-r1:14b
  30. prompt = Summarize the key differences between classical and operant conditioning in psychology.
  31. eval rate: 12.98 tokens/s
  32. prompt = Translate the following English paragraph into Chinese and elaborate more -> Artificial intelligence is transforming various industries by enhancing efficiency and enabling new capabilities.
  33. eval rate: 12.79 tokens/s
  34. prompt = What are the main causes of the American Civil War?
  35. eval rate: 12.37 tokens/s
  36. prompt = How does photosynthesis contribute to the carbon cycle?
  37. eval rate: 12.38 tokens/s
  38. prompt = Develop a python function that solves the following problem, sudoku game.
  39. eval rate: 11.90 tokens/s
  40. --------------------
  41. Average of eval rate: 12.484 tokens/s
  42. ----------------------------------------
  43. model_name = deepseek-r1:32b
  44. prompt = Summarize the key differences between classical and operant conditioning in psychology.
  45. eval rate: 4.02 tokens/s
  46. prompt = Translate the following English paragraph into Chinese and elaborate more -> Artificial intelligence is transforming various industries by enhancing efficiency and enabling new capabilities.
  47. eval rate: 3.91 tokens/s
  48. prompt = What are the main causes of the American Civil War?
  49. eval rate: 3.94 tokens/s
  50. prompt = How does photosynthesis contribute to the carbon cycle?
  51. eval rate: 4.04 tokens/s
  52. prompt = Develop a python function that solves the following problem, sudoku game.
  53. eval rate: 3.85 tokens/s
  54. --------------------
  55. Average of eval rate: 3.952 tokens/s
  56. ----------------------------------------
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