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AI Models 84759

• chronos-t5-base↗

  autogluon

  🚀 **Update Feb 14, 2025**: Chronos-Bolt & original Chronos 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. 🚀 **Update Nov 27, 2024**: We have released Chronos-Bolt⚡️ models that are more accurate (5% lower error), up to 250 times faster and 20 times more memory-efficient than the original Chronos models of the same size. Check out the new models here. Chronos is a family of **pretrained time series forecasting models** based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as synthetic data generated using Gaussian processes.

• Midnight-Rose-70B-v2.0.3-GGUF↗

  backyardai

• arcee-ai_Trinity-Mini-GGUF↗

  bartowski

• Menlo_Jan-nano-128k-GGUF↗

  bartowski

• migtissera_Tess-4.5-27B-GGUF↗

  bartowski

  **Model details:** - Parameter count: 28B (source checkpoint) - Input support: text, image (with mmproj file) - details - Speculative decoding: yes (MTP) - details - imatrix: yes - details **Don't know which to choose?** Grab Q4_K_M (17.44GB) - usually a good mix of size and performance. Download instructions available here The files marked `true` in the Split column above are stored as multiple parts in a folder. To download all the parts to a local folder, run:

• simplescaling_s1-32B-GGUF↗

  bartowski

• grok-oss-Apollyon-24B↗

  c4tdr0ut

• gte-large-gguf↗

  ChristianAzinn

• proxy-lite-3b↗

  convergence-ai

• queen-v1↗

  Crawlnet