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AI Models 84759

• CoRM-469M-top1↗

  ilsp

• Swift-1.5-Qwen3.8-27B-Uncensored-MTP-VAL-APEX-I-NanoPlus-V3-GGUF↗

  IsValorum

  If you consider these releases to be of high quality and they help you in your day-to-day workflow, consider supporting on Ko-fi. Every contribution directly sustains future cloud compute hours and helps support my university studies. Official **VAL-APEX-I NanoPlus V3** quantization of **ajgazin/Swift-1.5-Qwen3.8-27B-Uncensored-MTP**. This edition quantizes the uncensored foundation model built on UkisAI's Swift-1.5 reasoning fine-tune of Qwen3.8-27B with the V3 NanoPlus allocation (`IQ3_XXS` in the core MLP blocks, `IQ4_XS` on the outer layers 0-7 and 56-63, attention and recurrent matrices protected). VAL-APEX-I stands for: **Vector-calibrated Asymmetric Layer-wise Outlier-preserving Recurrent-aware Unified Matrix-quantization**

• quantization-gptq↗

  kernels-community

• rotary↗

  kernels-community

  > [!CAUTION] > Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new. This is the repository card of kernels-community/rotary that has been pushed on the Hub. It was built to be used with the `kernels` library. This card was automatically generated. Benchmarking script is available for this kernel. Run `kernels benchmark kernels-community/rotary --version `.

• Gemmasutra-Mini-2B-v1-gguf↗

  l3utterfly

• Orpheus-3b-German-FT-Q8_0.gguf↗

  lex-au

• sopro-v2-turbo↗

  litert-community

  Sample from the converted model (plain fp16 weights + int8 AR, streaming vocoder) cloning a CC0 volunteer voice from kyutai/tts-voices (`voice-donations/0a67`): assets/hero_sample.wav — “The morning light fell across the garden while a small bird sang beside the open window.” Source and license of the reference voice: assets/ATTRIBUTION.md. These classic `.tflite` graphs convert Samuel Vitorino's Sopro v2 turbo, a reference-conditioned text-to-speech model for English, European Portuguese, French and German, to the LiteRT CompiledModel API. The package provides fp32 reference graphs, plain weight-only fp16 graphs and a native-int8 merged AR alternative. It produces 24 kHz audio and includes a streaming vocoder, while resampling, spectral DSP, token sampling and the acoustic solver loop stay on the host. The upstream model and source are Apache-2.0; the included LICENSE is retained verbatim. Conversion used `sopro==2.2.0` and upstream model revision `f747f9edfb7b0233a3b7105af3a75603a7213d26`. The file sizes below are exact bytes. There are fourteen fp32 graph files, fourteen plain wfp16 graph files and one native-int8 merged AR file. The Android variants add eight fp32, seven wfp16 and one int8 graph file (rows marked "Android variant"), plus the app source under `android/`. Separate AR prefill/step files and merged alternatives are included so callers can choose one form without loading both. This table covers the executable artifacts, host assets and conversion sources.

• RLCR-lr1e-6-math-seed40↗

  llm-calibration

• NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF↗

  lmstudio-community

• stable-diffusion-2-base↗

  Manojb