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genericPaster

Llama3-8b-Math

genericPaster
Jul 23rd, 2024
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  1. Using Seed: 791363
  2.  
  3. [Debug: Dump Raw Input Tokens, format: 6]
  4. '<|begin_of_text|> (128000)', '<|eot_id|> (128009)', '<|start_header_id|> (128006)', 'user (882)', '<|end_header_id|> (128007)', '\n\n (271)', 'What (3923)', ' is (374)', ' Pi (21286)', ' * (353)', ' - (482)', '4 (19)', '. (13)', '102 (4278)', '? (30)', '<|eot_id|> (128009)', '<|start_header_id|> (128006)', 'assistant (78191)', '<|end_header_id|> (128007)', '\n\n (271)',
  5.  
  6.  
  7. [Debug: Dump Forwarded Input Tokens, format: 6]
  8. '<|eot_id|> (128009)', '<|start_header_id|> (128006)', 'user (882)', '<|end_header_id|> (128007)', '\n\n (271)', 'What (3923)', ' is (374)', ' Pi (21286)', ' * (353)', ' - (482)', '4 (19)', '. (13)', '102 (4278)', '? (30)', '<|eot_id|> (128009)', '<|start_header_id|> (128006)', 'assistant (78191)', '<|end_header_id|> (128007)', '\n\n (271)',
  9.  
  10. [Debug: n_past=1 Context Size = 1]
  11. '<|begin_of_text|> (128000)',
  12.  
  13. Processing Prompt (19 / 19 tokens)
  14. Generating (1 / 200 tokens) [(To 98.90%) (Pi 1.10%)]
  15. Generating (2 / 200 tokens) [( calculate 80.27%) ( find 11.69%) ( evaluate 4.55%) ( solve 3.49%)]
  16. Generating (3 / 200 tokens) [( the 24.29%) ( this 65.04%) ( Pi 10.68%)]
  17. Generating (4 / 200 tokens) [( result 89.33%) ( value 6.87%) ( product 3.81%)]
  18. Generating (5 / 200 tokens) [( of 31.44%) (, 68.56%)]
  19. Generating (6 / 200 tokens) [( Pi 41.27%) ( multiplying 36.29%) ( pi 9.59%) ( π 7.79%)]
  20. Generating (7 / 200 tokens) [( multiplied 47.06%) ( * 27.26%) ( (- 16.28%) ( times 6.05%)]
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  27. Generating (14 / 200 tokens) [( I 42.36%) ( we 57.64%)]
  28. Generating (15 / 200 tokens) [('ll 85.97%) ( can 6.57%) ( will 6.50%) ( need 0.96%)]
  29. Generating (16 / 200 tokens) [( first 54.23%) ( use 39.90%) ( substitute 2.33%) ( need 1.36%)]
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  31. Generating (18 / 200 tokens) [( that 100.00%)]
  32. Generating (19 / 200 tokens) [( Pi 100.00%)]
  33. Generating (20 / 200 tokens) [( ( 73.42%) ( is 26.58%)]
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  52. Generating (39 / 200 tokens) [( which 5.72%) ( approximately 58.80%) ( and 22.85%) ( with 12.63%)]
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  61. Generating (48 / 200 tokens) [(Now 80.87%) (So 6.21%) (Multip 3.80%) (Then 3.73%)]
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  63. Generating (50 / 200 tokens) [( let 97.26%) ( multiplying 1.97%) ( multiply 0.77%)]
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  65. Generating (52 / 200 tokens) [( do 22.64%) ( perform 53.65%) ( multiply 23.71%)]
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  67. Generating (54 / 200 tokens) [( math 24.24%) ( calculation 55.80%) ( multiplication 19.96%)]
  68. Generating (55 / 200 tokens) [(:\n\n 97.02%) (: 2.98%)]
  69. Generating (56 / 200 tokens) [(Pi 100.00%)]
  70. Generating (57 / 200 tokens) [( * 31.04%) ( ( 61.58%) ( × 4.28%) ( = 1.05%)]
  71. Generating (58 / 200 tokens) [( - 93.59%) ( (- 6.41%)]
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  75. Generating (62 / 200 tokens) [( = 58.91%) ( ≈ 38.64%) (\n 2.45%)]
  76. Generating (63 / 200 tokens) [( - 6.55%) ( 91.33%) ( π 2.12%)]
  77. Generating (64 / 200 tokens) [(3 91.04%) (12 8.96%)]
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  86. Generating (73 / 200 tokens) [( \n\n 6.67%) (\n\n 80.32%) ( ≈ 13.00%)]
  87. Generating (74 / 200 tokens) [(First 64.71%) (= 8.17%) (Multip 8.11%) (Since 6.47%)]
  88. Generating (75 / 200 tokens) [(, 100.00%)]
  89. Generating (76 / 200 tokens) [( multiply 58.48%) ( we 31.93%) ( I 3.31%) ( let 2.33%)]
  90. Generating (77 / 200 tokens) [( the 63.90%) ( - 15.50%) ( 10.32%) ( Pi 7.96%)]
  91. Generating (78 / 200 tokens) [( numbers 40.47%) ( absolute 43.85%) ( two 12.59%) ( negative 1.84%)]
  92. Generating (79 / 200 tokens) [( without 24.50%) (:\n 21.76%) ( as 19.21%) ( ignoring 10.22%)]
  93. Generating (80 / 200 tokens) [( considering 63.52%) ( worrying 26.31%) ( regard 4.84%) ( changing 3.11%)]
  94. Generating (81 / 200 tokens) [( the 68.44%) ( their 31.56%)]
  95. Generating (82 / 200 tokens) [( negative 38.17%) ( signs 46.67%) ( sign 15.16%)]
  96. Generating (83 / 200 tokens) [( signs 70.77%) ( sign 29.23%)]
  97. Generating (84 / 200 tokens) [(: 9.45%) (:\n 85.84%) (:\n\n 2.57%) (, 1.13%)]
  98. Generating (85 / 200 tokens) [( \n 89.45%) ( 5.29%) ( \n\n 5.26%)]
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  108. Generating (95 / 200 tokens) [( ≈ 82.67%) ( = 17.33%)]
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  112. Generating (99 / 200 tokens) [(894 0.40%) (887 14.01%) (876 11.57%) (870 6.64%) (877 5.26%)]
  113. Generating (100 / 200 tokens) [(98 1.15%) (5 7.47%) (\n\n 7.31%) (<|eot_id|> 6.81%) ( \n\n 6.32%)]
  114. Generating (101 / 200 tokens) [(\n\n 54.35%) ( \n\n 44.85%) (<|eot_id|> 0.80%)]
  115. Generating (102 / 200 tokens) [(Since 46.48%) (Then 44.32%) (Next 4.05%) (Now 2.82%)]
  116. Generating (103 / 200 tokens) [( both 100.00%)]
  117. Generating (104 / 200 tokens) [( original 4.74%) ( numbers 73.31%) ( the 8.97%) ( terms 6.09%) ( factors 5.64%)]
  118. Generating (105 / 200 tokens) [( numbers 87.70%) ( values 12.30%)]
  119. Generating (106 / 200 tokens) [( were 68.28%) ( are 29.05%) ( had 2.67%)]
  120. Generating (107 / 200 tokens) [( negative 100.00%)]
  121. Generating (108 / 200 tokens) [(, 100.00%)]
  122. Generating (109 / 200 tokens) [( we 13.08%) ( the 76.85%) ( their 7.30%) ( and 0.71%)]
  123. Generating (110 / 200 tokens) [( multiply 10.21%) ( need 35.15%) ( change 15.03%) ( must 7.35%)]
  124. Generating (111 / 200 tokens) [( the 62.72%) ( their 14.44%) ( by 11.44%) ( this 6.70%)]
  125. Generating (112 / 200 tokens) [( result 66.67%) ( positive 28.51%) ( absolute 3.02%) ( product 1.80%)]
  126. Generating (113 / 200 tokens) [( by 98.16%) ( of 0.63%) ( again 0.62%) ( from 0.30%)]
  127. Generating (114 / 200 tokens) [( - 100.00%)]
  128. Generating (115 / 200 tokens) [(1 100.00%)]
  129. Generating (116 / 200 tokens) [(:\n 68.50%) ( to 27.85%) ( ( 2.17%) (:\n\n 0.83%)]
  130. Generating (117 / 200 tokens) [(- 100.00%)]
  131. Generating (118 / 200 tokens) [(12 91.35%) (1 8.65%)]
  132. Generating (119 / 200 tokens) [(. 100.00%)]
  133. Generating (120 / 200 tokens) [(894 100.00%)]
  134. Generating (121 / 200 tokens) [(98 100.00%)]
  135. Generating (122 / 200 tokens) [(<|eot_id|> 64.28%) ( * 14.75%) (\n\n 10.43%) ( \n\n 7.98%)]
  136.  
  137. (EOS token triggered! ID:128009)
  138. llama_print_timings: load time = 327.64 ms
  139. llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
  140. llama_print_timings: prompt eval time = 164.47 ms / 19 tokens ( 8.66 ms per token, 115.52 tokens per second)
  141. llama_print_timings: eval time = 3240.71 ms / 121 runs ( 26.78 ms per token, 37.34 tokens per second)
  142. llama_print_timings: total time = 4197.95 ms / 140 tokens
  143.  
  144. CtxLimit: 142/8192, Process:0.14s (7.6ms/T = 131.94T/s), Generate:3.97s (32.5ms/T = 30.74T/s), Total:4.11s (29.66T/s)
  145. Output: To calculate the result of Pi multiplied by -4.102, I'll first recall that Pi (π) is a mathematical constant representing the ratio of a circle's circumference to its diameter, which is approximately 3.14159.
  146.  
  147. Now, let's do the math:
  148.  
  149. Pi * -4.102 = -3.14159 * -4.102
  150.  
  151. First, multiply the numbers without considering the negative signs:
  152. 3.14159 * 4.102 ≈ 12.89498
  153.  
  154. Since both original numbers were negative, we multiply the result by -1:
  155. -12.89498
  156.  
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