Pulling the tape…
Pulling the tape…
Radar
Hugging Face models, datasets, and spaces ranked by a likes + downloads heat score. arXiv cs.AI is the research tape. Counts come from public APIs — if a field is missing, it is omitted.
As of Oct 21, 5:25 AM EDT · revalidates daily
Sources live · hf-models 24 · hf-datasets 24 · hf-spaces 24 · arxiv 8
Models
Qwen/Qwen3.8-27B
image-text-to-text · 18k likes · 7.6M dl
Lightricks/LTX-2.5
image-to-video · 8.7k likes · 2.0M dl
meta-llama/Llama-3.1-8B-Instruct
text-generation · 8.5k likes · 5.3M dl
stabilityai/stable-diffusion-xl-base-1.0
text-to-image · 8.4k likes · 4.3M dl
deepseek-ai/DeepSeek-R1
text-generation · 14k likes · 1.4M dl
hexgrad/Kokoro-82M
text-to-speech · 7.2k likes · 11M dl
openai/whisper-large-v3
automatic-speech-recognition · 6.7k likes · 3.7M dl
Qwen/Qwen3.8-Flash-Next
image-text-to-text · 6.4k likes · 2.5M dl
moonshotai/Kimi-K3
image-text-to-text · 12k likes · 998k dl
MiniMaxAI/MiniMax-H3
image-text-to-video · 6.3k likes · 4.9M dl
sentence-transformers/all-MiniLM-L6-v2
sentence-similarity · 6.0k likes · 203M dl
openai/gpt-oss-120b
text-generation · 5.4k likes · 3.1M dl
black-forest-labs/FLUX.1-dev
text-to-image · 16k likes · 650k dl
unsloth/Qwen3.8-27B-GGUF
model · 5.2k likes · 6.4M dl
openai/gpt-oss-20b
text-generation · 5.2k likes · 5.9M dl
CompVis/stable-diffusion-v1-4
text-to-image · 7.1k likes · 496k dl
black-forest-labs/FLUX.1-schnell
text-to-image · 6.4k likes · 556k dl
Tongyi-MAI/Z-Image-Turbo
text-to-image · 5.5k likes · 658k dl
deepseek-ai/DeepSeek-V4-Pro
text-generation · 5.7k likes · 358k dl
meta-llama/Meta-Llama-3-8B-Instruct
text-generation · 5.5k likes · 430k dl
zai-org/GLM-5.2
text-generation · 5.2k likes · 391k dl
meta-llama/Meta-Llama-3-8B
text-generation · 6.8k likes · 155k dl
convaiinnovations/laya
text-classification · 5.7k likes · 53k dl
bigscience/bloom
text-generation · 5.1k likes · 13k dl
Data
Research
2026-10-20 · Noam Rotstein, Yoad Tewel, Chen Tessler
Video generation models can now depict remarkably realistic motion. Yet it is unclear how to use this motion beyond pixels: to animate a specific 3D asset and replay the animation in its 3D scene. For instance, a video model can show a monkey jumping over a crossbar, but it canno
2026-10-20 · Yazhuo Liu, Kunqing Ding, Xiaoguo Gong
Agentic artificial intelligence (AI) systems hold immense potential for automating complex workflows in materials discovery and design, but extending them to domain-intensive mechanistic investigations remains challenging. Here, we present GBClaw, an agentic AI framework for inve
2026-10-20 · Rahul Sajnani, Diego Romeres, Mingyuan Zhang
Motivated by the human ability to integrate experience across language, perception, and action, we introduce UniWALM, a unified world-action-language model that learns video, action, and language in a single shared representation, where each modality is both a conditioning signal
2026-10-20 · Jad Yammine, Malek Wahidi, Abrar Anwar
Repos
nvidia/PhysicalAI-Autonomous-Vehicles
dataset · 1.2k likes · 262k dl
Apps
enzostvs/deepsite
space · 17k likes
open-llm-leaderboard/open_llm_leaderboard
space · 14k likes
jbilcke-hf/ai-comic-factory
space · 11k likes
Kwai-Kolors/Kolors-Virtual-Try-On
space · 10k likes
black-forest-labs/FLUX.1-dev
space · 9.6k likes
mteb/leaderboard
space · 7.7k likes
dalle-mini/dalle-mini
space · 5.7k likes
AP123/IllusionDiffusion
space · 5.5k likes
black-forest-labs/FLUX.1-schnell
space · 5.2k likes
facebook/MusicGen
space · 5.1k likes
lmarena-ai/arena-leaderboard
space · 5.0k likes
microsoft/TRELLIS
space · 4.8k likes
KingNish/OpenGPT-4o
space · 4.3k likes
nanotron/ultrascale-playbook
space · 4.1k likes
mrfakename/Z-Image-Turbo
space · 3.9k likes
KlingTeam/LivePortrait
space · 3.8k likes
zerogpu-aoti/wan2-2-fp8da-aoti-faster
space · 3.8k likes
InstantX/InstantID
space · 3.7k likes
hexgrad/Kokoro-TTS
space · 3.5k likes
tencent/Hunyuan3D-2
space · 3.4k likes
HuggingFaceTB/smol-training-playbook
space · 3.3k likes
akhaliq/anycoder
space · 3.3k likes
r3gm/wan2-2-fp8da-aoti-preview
space · 3.2k likes
mukaist/Midjourney
space · 3.0k likes
Warehouse robot fleets continuously observe operational conditions, but preserving these observations as reusable semantic memory incurs substantial computation, communication, and storage costs. For example, explaining recurring aisle blockages can require reviewing video from m