CoolFace
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metal

donghyunli /Meta-Llama-3-70B-KronQ-HG Meta-Llama-3-70B — KronQ H_G (output-side gradient covariance) Paper: arXiv:2607.07964 · Code: GitHub Pre-computed H_G for Meta-Llama-3-70B, the output-side curvature factor used by KronQ under the K-FAC factorization H ≈ H_X ⊗ H_G. Per-sublayer empirical-Fisher gradient covariance (E[g gᵀ] over the layer output), distinct from the input-side Hessian H_X. Publishing this lets you reproduce KronQ quantization without the offline Fisher precompute step. Contents (80… See the full description on the dataset page: https://huggingface.co/datasets/donghyunli/Meta-Llama-3-70B-KronQ-HG.text-generation0 likes1.8k downloads2mo agoHugging Facepapylove /kalshi-15m-metals-data0 likes1.3k downloads1m agoHugging Facetoksuitebackup /meta-llama-Llama-3.2-1B-toksuite-detokenizedTraining data of the model detokenized in the exact order seen by the model. The training data is partitioned into 8 chunks (chunk-0 through chunk-7), based on the GPU rank that generated the data. Each chunk contains detokenized text files in JSON Lines format (.jsonl). tabular10M<n<100M0 likes1.2k downloads10mo agoHugging Facebrics-edtech /nornikel-metallurgy-rag-index Nornikel Metallurgy RAG Knowledge Base (для векторного индекса) Дедуплицированный корпус текстовых фрагментов (и связанных изображений) из технической базы знаний по металлургии/горному делу/обогащению — источник для построения векторного индекса (Annoy) в пайплайне RAG. Индекс НЕ включён в этот репозиторий — эмбеддинги и Annoy-индекс строятся во время выполнения ноутбука Google Colab (на GPU, это быстрее, чем на CPU), используя corpus.jsonl как исходные данные. Модель… See the full description on the dataset page: https://huggingface.co/datasets/brics-edtech/nornikel-metallurgy-rag-index.image10K<n<100K0 likes860 downloads3mo agoHugging FaceBangumiBase /metallicrouge Bangumi Image Base of Metallic Rouge This is the image base of bangumi Metallic Rouge, we detected 40 characters, 3154 images in total. The full dataset is here. Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/metallicrouge.image1K<n<10K0 likes750 downloads2y agoHugging Faceantoniomari /meta-libero-resultsdocument1K<n<10K0 likes713 downloads6mo agoHugging Face