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Looks like OpenAI's been using Nous' YaRN and kaiokendev's rope scaling for context length extension all along - of course never any credit but... Anyone who says "open source just steals from their 'real' research and rides on their shoulders" is completely wrong
I called it when they released extended 128k context on gpt4 just a few weeks after Nous released yarn lol
for context on yarn; deepseek and qwen also use it;
Paper:
1.8. klo 16.03
Eh It’s going to come out anyway now
Config: {"num_hidden_layers": 36, "num_experts": 128, "experts_per_token": 4, "vocab_size": 201088, "hidden_size": 2880, "intermediate_size": 2880, "swiglu_limit": 7.0, "head_dim": 64, "num_attention_heads": 64, "num_key_value_heads": 8, "sliding_window": 128, "initial_context_length": 4096, "rope_theta": 150000, "rope_scaling_factor": 32.0, "rope_ntk_alpha": 1, "rope_ntk_beta": 32}
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