ricursiveAI/Ripple-65B-Preview
65B ā¢ Updated ā¢ 939 ā¢ 197
Elise V Paul PRO
elisepaul
AI & ML interests
Inference and Training on Dgx Spark
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reacted to raincandy-u's post with š„ 29 days ago
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20K parameters can tell a story. š
š¤ We trained a ~20k-parameter Transformer that can actually write stories!
raincandy-u/MacroStories
ā ~50Ć smaller than the 1M-parameter TinyStories model
ā ~3,000Ć smaller than AlexNet
ā 81 KB in FP32
yayyy the whole model. ą«® Ė¶įµ įµ įµĖ¶ į
She has a 32-dimensional hidden state, a 378-token vocabulary, and just one decoder block ā recurrently applied 4 times with shared weights.
Despite having only 19,969 parameters, she can maintain a simple narrative across 100ā300 words: establish a goal, encounter a problem, take relevant actions, and reach an outcome.
She runs extremely fast on CPU ā no GPU required. The entire model is tiny enough to load almost instantly! āŗļø
š¤ We trained a ~20k-parameter Transformer that can actually write stories!
raincandy-u/MacroStories
ā ~50Ć smaller than the 1M-parameter TinyStories model
ā ~3,000Ć smaller than AlexNet
ā 81 KB in FP32
yayyy the whole model. ą«® Ė¶įµ įµ įµĖ¶ į
She has a 32-dimensional hidden state, a 378-token vocabulary, and just one decoder block ā recurrently applied 4 times with shared weights.
Despite having only 19,969 parameters, she can maintain a simple narrative across 100ā300 words: establish a goal, encounter a problem, take relevant actions, and reach an outcome.
She runs extremely fast on CPU ā no GPU required. The entire model is tiny enough to load almost instantly! āŗļø
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