Add Helion Kernel Challenge competition#105
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New competition inspired by Helion kernel ideas covering attention mechanisms, sampling strategies, quantization, and sequence modeling operators from production LLM architectures. Problems: - GQA: Causal Grouped Query Attention (Llama 3 style) - MLA: Multi-Head Latent Attention decode (DeepSeek-V2/V3) - KDA: Kimi Delta Attention (linear attention + delta rule) - Causal Conv1d: Causal depthwise 1D convolution (Mamba) - FP8 Quant: Per-token-group FP8 E4M3 quantization - INT8 Quant: Per-token INT8 symmetric quantization - Min-P: Adaptive probability threshold sampling - Top-K: Top-k sampling via binary search - Top-P: Nucleus sampling via binary search Deadline: March 14, 2026 midnight PST
The regex only matched [a-zA-Z]+ for keys, which broke parameters like group_size, hidden_dim, num_tokens, and use_initial_state. Also adds true/false boolean value parsing.
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Alright this is working! Last thing we need to do now is make sure we can get hooked up to the Nebius runners, Modal worked great |
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