LIBERO spatial, object, goal and 10 suites: 1,695 successful replay episodes, 274,008 frames, 10 Hz. Derived from LIBERO demonstrations for layout-conditioned robot policy training. GT and DA3 share ...

100 short videos (at most 180 s), each with one multiple-choice question and the responses of five open-source video reasoning models (Video-Thinker, Open-o3 Video, VideoChat-R1, VideoChat-R1.5, ...

Release: Kearuga-distilled, Kearuga-calibrated NVFP4 DFlash2 drafter (run 2, calib400) + 64K draft-head token map + SGLang overlay + model card Xet efficiently stores Large Files inside Git, ...

import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Manojb/stable-diffusion-2-1-base ...

A benchmark for temporal reasoning over patient timelines: given a question about when something happened in one patient's record, retrieve the passages that support the correct answer rather than ...

SWE-Trail improves trajectory collection for coding agents by using past rollouts to guide exploration without exposing history to the agent, yielding better-trained student models. TL;DR: SWE-Trail ...

How to use mradermacher/Huihui-Qwen3-4B-abliterated-v2-GGUF with Transformers: # pip install -U transformers accelerate # Load model directly from transformers import ...

How to use GrootTeam/Groot-19B-A3B-261023-GGUF with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image ...

How to use mitra-mir/setfit-model-Misinformation-on-Media-Traditional-Social with sentence-transformers: from sentence_transformers import SentenceTransformer model ...

How to use free5knuckles/my_awesome_eli5_clm-model with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text ...