9 results

trainium

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Models

All models matching “trainium”

ritwika96 /arc-agi2-joint-loopvit-epochs-trainium-v31 likes3.5k downloads3d agoHugging Face ritwika96 /arc-agi2-joint-loopvit-hybrid-trainium-v20 likes111 downloads5d agoHugging Face ritwika96 /arc-agi2-joint-loopvit-trainium-v10 likes54 downloads6d agoHugging Face ritwika96 /arc-agi2-grid-transformer-trainium-v1pytorch0 likes38 downloads6d agoHugging Face kunhunjon /ChessLM_Qwen3_Trainium_AWS_Formattext-generationen0 likes29 downloads11mo agoHugging Face kunhunjon /ChessLM_Qwen3_Trainiumtext-generationen1 likes26 downloads11mo agoHugging Face aws-neuron /ChessLM_Qwen3_Trainium_2_AWS_Formattext-generationen1 likes19 downloads11mo agoHugging Face kunhunjon /ChessLM_Qwen3_Trainium_Shardedtext-generationen0 likes18 downloads11mo agoHugging Face

Datasets

All datasets matching “trainium”

LaelaZorana /kernel-grader-mi300x-rocm-trainium-nkigated Grading a kernel on an MI300X, and two agents that skipped it entirely I put 67,108,864 skewed keys into 4096 bins on an AMD Instinct MI300X VF, gfx942, under ROCm 7.2.4. One global atomic per key takes 86.3898 ms. Privatising the table into local data share per block, with one merge at the end, takes 0.1015 ms. That is 851.13 times, measured on the same card in the same run. Two cheating agents then scored full marks against my own grader. What ran Measured time Score… See the full description on the dataset page: https://huggingface.co/datasets/LaelaZorana/kernel-grader-mi300x-rocm-trainium-nki.tabular10K<n<100K0 likes45 downloads22d agoHugging Face