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FranciszekWojcik has published the coca-matching-dev-2024 model, detailing its architecture and performance metrics, marking a significant advancement in AI research.
AI research organization nchapman has released the Qwen3.6-35B-A3B-W4A16-HGPTQ-g64 model, detailing its architecture and performance metrics, marking a significant advancement in AI technology.
AI research group thijsjansen3373 has published the OCR-Freeform-Tiny model specifications, detailing its architecture and performance metrics for the AI community.
AI research organization stefanocarrera has released the kic_M_Qwen3-8B_cpp_t0.5_g10_run0 model, detailing its technical architecture and performance metrics.
Kifule2 has launched spaces-ai-teacher-1-5b, detailing its architecture and performance metrics, marking a significant advancement in AI technology.
Petrouil has introduced Depth-Anything-V2-Tiny-hf, a compact AI model with 14.7 million parameters, achieving over 85% δ1 accuracy on NYUv2. Discover its architecture and benchmarks.
Hisnlabs has launched tajweed-v2, an AI model for Quranic recitation, featuring advanced architecture and performance metrics. The model powers the Daghia search engine, enhancing user experience.
JingwenGu has released the qwen3-1.7b-sft-from-4b-rollouts-step400 model, detailing its architecture and performance metrics, including memory throughput and quantization.
Lilgarca has officially launched my-model-v01, showcasing its advanced architecture and performance metrics, which could redefine AI applications in various sectors.
farhodbek06 has released comprehensive specifications for its AI model, detailing architecture configurations and performance metrics, marking a significant advancement in AI research.
AI research organization latentMO has unveiled its latest model cotcontrol-inklingsmall-inksft1, providing crucial technical specifications and performance metrics.
kmakarov has published the coca-contrastive model on the global model registry, detailing its architecture and performance metrics, including memory throughput and quantization.
AI research organization putriwijaya has released detailed specifications for its generation model, including architecture configurations and performance metrics, on November 6, 2026.
AI research organization mattwang123 has released critical specifications for its Chrononauts-3B-2019-01-Agent, detailing architecture and performance metrics.
AI research organization cyttic has released the hmt-trocrscratchreg-geom1-s42 model, providing detailed specifications on memory throughput and architecture configurations.
mhseo2 has released the sft_olmo3base7b_amr1_0528 model, showcasing its technical architecture and performance metrics, including memory throughput and quantization details.
AI research organization victorvic has published the classification-beta11 model, detailing its architecture and specifications, setting a new benchmark in AI development.
Yuiishii07 has launched the albef-retrieval-run3-2024 model, providing detailed specifications on architecture and performance metrics for AI retrieval applications.
On November 5, 2026, latentMO released cotcontrol-gptoss120b-orga2, detailing its architecture and performance metrics, marking a significant advancement in AI technology.
LibreYOLO's new model, LibreSAM31large, showcases advanced architecture and specifications, enhancing AI capabilities in image segmentation and feature extraction.
unl-reset has unveiled the Tofu-Phi-1.5 model, providing comprehensive architecture metrics, including memory throughput and quantization specifications, crucial for AI research.
ezimmermannner has released the my-generation79 model, detailing its architecture and performance metrics, marking a significant step in AI research.
AI research organization unl-reset has published the tofu-phi-1_5-locuslabft model specifications, highlighting its architecture and memory throughput capabilities.
JingwenGu has released the technical specifications for its latest AI model, qwen3-1.7b-sft-logp-steps1to100, detailing architecture and performance metrics.
