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AI Models 84759

• pussy_shape↗

  Adoz

• RudolfV-2-S↗

  Aignostics

• Qwen3.8-27B-Unleashed-GGUF↗

  AleaiactaEst1

• Qwen3.5-35B-A3B-heretic-GGUF↗

  alexdenton

• orthrus-4-track↗

  antichronology

• L3-8B-Lunaris-v1-GGUF↗

  ApplePlacer10

• sam3-gguf↗

  Asher-1

  ]633;E;echo "=== 3. hparams as seen by the C++ loader"\x3b timeout 60 ./build-vis/diff_tokenizer /tmp/hf_verify/sam3-q4_0.gguf /tmp/tok_diff 2>&1 | grep -E "mem_selection|max_cond|max_obj" ;a7ba6c53-87c6-427f-92bf-6a5106a2fee1]633;C# github: https://github.com/Asher-1/sam3-ggml This directory holds ready-to-run **GGUF** models for sam3.cpp. Each file name encodes three things: > **Architecture lineage**: this directory covers **2 architectures** — > **SAM 3** (`sam3-*`, `sam3-visual-*`) and the **SAM 2 family** > (`sam2*`, `sam2.1*`). There are **no SAM 1** checkpoints (SAM 1 / ViT-B/L/H is a separate > architecture not shipped by this project). The SAM 2 family is visual-only > (points/box + tracking); **SAM 3 full adds text-prompted detection (PCS)**: > type `"cat"` and get every cat in the image.

• Marco-DeepResearch-8B-GGUF↗

  ATH-MaaS

• Whisper-Large-v3-Turbo-CoreML↗

  aufklarer

• chronos-bolt-tiny↗

  autogluon

  🚀 **Update Feb 14, 2025**: Chronos-Bolt models are now available on Amazon SageMaker JumpStart! Check out the tutorial notebook to learn how to deploy Chronos endpoints for production use in a few lines of code. Chronos-Bolt is a family of pretrained time series forecasting models which can be used for zero-shot forecasting. It is based on the T5 encoder-decoder architecture and has been trained on nearly 100 billion time series observations. It chunks the historical time series context into patches of multiple observations, which are then input into the encoder. The decoder then uses these representations to directly generate quantile forecasts across multiple future steps—a method known as direct multi-step forecasting. Chronos-Bolt models are **more accurate**, up to **250 times faster** and **20 times more memory-efficient** than the original Chronos models of the same size. The following plot compares the inference time of Chronos-Bolt against the original Chronos models for forecasting 1024 time series with a context length of 512 observations and a prediction horizon of 64 steps.