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ppl_openai_124m_on_first_100_wiki
[567.9115600585938, 56.67509841918945, 43.751529693603516, 446.31036376953125, 105.64205932617188, 46.81969451904297, 58.581687927246094, 104.2413558959961, 54.72474670410156, 47.757484436035156, 344.9791259765625, 125.95138549804688, 127.30056762695312, 121.8743896484375, 5530.96337890625, 63.255977630615234, 40.26131820678711, 221.20994567871094, 67.87372589111328, 124.36280059814453, 51.45112609863281, 28.862449645996094, 90.8835678100586, 52.914772033691406, 43.79263687133789, 65.90277099609375, 28.6372127532959, 47.22958755493164, 121.12361145019531, 52.30910873413086, 206.6190643310547, 37.1999626159668, 40.654659271240234, 122.0879135131836, 81.76490783691406, 146.55677795410156, 40.95233154296875, 95.32257843017578, 52.552215576171875, 50.594947814941406, 48.63951873779297, 113.45445251464844, 408.43096923828125, 136.25912475585938, 79.31561279296875, 57.47505569458008, 94.31627655029297, 226.79824829101562, 94.74286651611328, 153.68740844726562, 67.32661437988281, 181.7376708984375, 72.06829071044922, 105.37476348876953, 163.584716796875, 142.50631713867188, 429.9642639160156, 45.28498077392578, 72.79857635498047, 48.66132736206055, 48.830204010009766, 58.96254348754883, 70.43704223632812, 184.06590270996094, 53.870357513427734, 48.28657913208008, 55.06700134277344, 309.02032470703125, 65.46625518798828, 108.32575988769531, 441.5823059082031, 462.32965087890625, 59.72098922729492, 41.33114242553711, 53.815040588378906, 66.69490814208984, 680.7916259765625, 51.86372375488281, 23.327516555786133, 314.24578857421875, 75.32500457763672, 51.990699768066406, 619.3561401367188, 21.46556282043457, 26.432353973388672, 312.0647888183594, 62.42569351196289, 41.8802604675293, 83.74067687988281, 101.15629577636719, 476.3041687011719, 39.12140655517578, 462.6322021484375, 29810.5625, 818.036376953125, 562.5730590820312, 497.6443176269531, 587.3200073242188, 1455.99169921875, 1243.584716796875]
@bigsnarfdude
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import matplotlib.pyplot as plt

data = [567.9115600585938, 56.67509841918945, 43.751529693603516, 446.31036376953125, 105.64205932617188, 46.81969451904297, 58.581687927246094, 104.2413558959961, 54.72474670410156, 47.757484436035156, 344.9791259765625, 125.95138549804688, 127.30056762695312, 121.8743896484375, 5530.96337890625, 63.255977630615234, 40.26131820678711, 221.20994567871094, 67.87372589111328, 124.36280059814453, 51.45112609863281, 28.862449645996094, 90.8835678100586, 52.914772033691406, 43.79263687133789, 65.90277099609375, 28.6372127532959, 47.22958755493164, 121.12361145019531, 52.30910873413086, 206.6190643310547, 37.1999626159668, 40.654659271240234, 122.0879135131836, 81.76490783691406, 146.55677795410156, 40.95233154296875, 95.32257843017578, 52.552215576171875, 50.594947814941406, 48.63951873779297, 113.45445251464844, 408.43096923828125, 136.25912475585938, 79.31561279296875, 57.47505569458008, 94.31627655029297, 226.79824829101562, 94.74286651611328, 153.68740844726562, 67.32661437988281, 181.7376708984375, 72.06829071044922, 105.37476348876953, 163.584716796875, 142.50631713867188, 429.9642639160156, 45.28498077392578, 72.79857635498047, 48.66132736206055, 48.830204010009766, 58.96254348754883, 70.43704223632812, 184.06590270996094, 53.870357513427734, 48.28657913208008, 55.06700134277344, 309.02032470703125, 65.46625518798828, 108.32575988769531, 441.5823059082031, 462.32965087890625, 59.72098922729492, 41.33114242553711, 53.815040588378906, 66.69490814208984, 680.7916259765625, 51.86372375488281, 23.327516555786133, 314.24578857421875, 75.32500457763672, 51.990699768066406, 619.3561401367188, 21.46556282043457, 26.432353973388672, 312.0647888183594, 62.42569351196289, 41.8802604675293, 83.74067687988281, 101.15629577636719, 476.3041687011719, 39.12140655517578, 462.6322021484375, 29810.5625, 818.036376953125, 562.5730590820312, 497.6443176269531, 587.3200073242188, 1455.99169921875, 1243.584716796875]

plt.figure(figsize=(10, 6))
plt.plot(data, marker='o', linestyle='-', color='skyblue')
plt.title('Line Chart of 100 Values')
plt.xlabel('Index')
plt.ylabel('Value')
plt.grid(True, linestyle='--', linewidth=0.5)
plt.show()


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