{
 "built": "2026-11-07",
 "repos": 50,
 "groups": [
  {
   "slug": "asr",
   "name": "ASR models and fine-tunes",
   "tab": "ASR",
   "models": [
    {
     "id": "danielrosehill/Fritter",
     "name": "Fritter",
     "type": "ASR · Parakeet",
     "summary": "English dictation tuned for technical vocabulary, including AI: model and product names, CLI and cloud terms, brands, acronyms and numbers in digits.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "cc-by-nc-4.0",
     "base_model": "nvidia/parakeet-tdt-0.6b-v2",
     "modified": "2026-11-05",
     "variants": []
    },
    {
     "id": "danielrosehill/Fritter-Nemotron-0.6B",
     "name": "Fritter Nemotron 0.6B",
     "type": "ASR · Nemotron streaming",
     "summary": "Streaming version of Fritter, the English dictation fine-tune for technical vocabulary.",
     "variants": [
      {
       "label": "sherpa-onnx int8",
       "id": "danielrosehill/Fritter-Nemotron-0.6B-sherpa-onnx-int8"
      }
     ],
     "owner": "danielrosehill",
     "gated": false,
     "license": "cc-by-nc-4.0",
     "base_model": "nvidia/nemotron-speech-streaming-en-0.6b",
     "modified": "2026-11-06"
    },
    {
     "id": "Hebrish/Jachnun",
     "name": "Jachnun",
     "type": "ASR · Parakeet",
     "summary": "The code-switching line: English speech with romanized Hebrew words dropped in, as English speakers in Israel talk.",
     "variants": [
      {
       "label": "GGUF",
       "id": "Hebrish/Jachnun-GGUF"
      },
      {
       "label": "MLX",
       "id": "Hebrish/Jachnun-MLX"
      },
      {
       "label": "ONNX",
       "id": "Hebrish/Jachnun-ONNX"
      },
      {
       "label": "sherpa-onnx int8",
       "id": "Hebrish/Jachnun-sherpa-onnx-int8"
      }
     ],
     "owner": "Hebrish",
     "gated": true,
     "license": "cc-by-4.0",
     "base_model": "nvidia/parakeet-tdt-0.6b-v2",
     "modified": "2026-11-04"
    },
    {
     "id": "Hebrish/Nemotron-Speech-Streaming-EN-0.6B-English-Hebrew-Codeswitching",
     "name": "Nemotron Speech Streaming 0.6B English-Hebrew Codeswitching",
     "type": "ASR · Nemotron streaming",
     "summary": "Streaming fine-tune for English speech with Hebrew words in it, written in canonical romanization.",
     "status": "Experimental",
     "owner": "Hebrish",
     "gated": true,
     "license": "other",
     "base_model": "nvidia/nemotron-speech-streaming-en-0.6b",
     "modified": "2026-10-30",
     "variants": []
    },
    {
     "id": "Hebrish/Sabich",
     "name": "Sabich",
     "type": "ASR · Parakeet",
     "summary": "The kitchen-sink line, trained on everything: English with Hebrew words in it, tech vocabulary, brand names, numbers in digits and Irish-English phrasing.",
     "variants": [
      {
       "label": "GGUF",
       "id": "Hebrish/Sabich-GGUF"
      },
      {
       "label": "MLX",
       "id": "Hebrish/Sabich-MLX"
      },
      {
       "label": "ONNX",
       "id": "Hebrish/Sabich-ONNX"
      },
      {
       "label": "sherpa-onnx int8",
       "id": "Hebrish/Sabich-sherpa-onnx-int8"
      }
     ],
     "owner": "Hebrish",
     "gated": true,
     "license": "cc-by-nc-4.0",
     "base_model": "nvidia/parakeet-tdt-0.6b-v2",
     "modified": "2026-11-02"
    },
    {
     "id": "Hebrish/Sabich-asr4all-M",
     "name": "Sabich asr4all M",
     "type": "ASR · asr4all streaming",
     "summary": "Sabich on a tiny streaming base, FUTO asr4all-m.",
     "owner": "Hebrish",
     "gated": true,
     "license": "other",
     "base_model": "futo-org/asr4all-m",
     "modified": "2026-10-30",
     "variants": []
    },
    {
     "id": "Hebrish/Sabich-asr4all-S",
     "name": "Sabich asr4all S",
     "type": "ASR · asr4all streaming",
     "summary": "Sabich on a tiny streaming base, FUTO asr4all-s.",
     "owner": "Hebrish",
     "gated": true,
     "license": "other",
     "base_model": "futo-org/asr4all-s",
     "modified": "2026-10-30",
     "variants": []
    },
    {
     "id": "Hebrish/Sabich-Canary-Qwen-2.5B",
     "name": "Sabich Canary Qwen 2.5B",
     "type": "ASR · Canary-Qwen",
     "summary": "The Sabich training data applied to a larger base model, NVIDIA Canary-Qwen 2.5B.",
     "owner": "Hebrish",
     "gated": true,
     "license": "cc-by-4.0",
     "base_model": "nvidia/canary-qwen-2.5b",
     "modified": "2026-10-30",
     "variants": []
    },
    {
     "id": "Hebrish/Sabich-Parakeet-110M",
     "name": "Sabich Parakeet 110M",
     "type": "ASR · Parakeet",
     "summary": "The small Sabich, on Parakeet TDT-CTC 110M.",
     "variants": [
      {
       "label": "GGUF",
       "id": "Hebrish/Sabich-Parakeet-110M-GGUF"
      },
      {
       "label": "sherpa-onnx int8",
       "id": "Hebrish/Sabich-Parakeet-110M-sherpa-onnx-int8"
      }
     ],
     "owner": "Hebrish",
     "gated": true,
     "license": "cc-by-4.0",
     "base_model": "nvidia/parakeet-tdt_ctc-110m",
     "modified": "2026-10-30"
    },
    {
     "id": "Hebrish/Sabich-Qwen3-ASR-1.7B",
     "name": "Sabich Qwen3 ASR 1.7B",
     "type": "ASR · Qwen3-ASR",
     "summary": "The Sabich training data applied to a larger base model, Qwen3-ASR 1.7B.",
     "variants": [
      {
       "label": "GGUF",
       "id": "Hebrish/Sabich-Qwen3-ASR-1.7B-GGUF"
      }
     ],
     "owner": "Hebrish",
     "gated": true,
     "license": "apache-2.0",
     "base_model": "Qwen/Qwen3-ASR-1.7B",
     "modified": "2026-10-30"
    },
    {
     "id": "Hebrish/Sabich-Rolling",
     "name": "Sabich Rolling",
     "type": "ASR · Parakeet",
     "summary": "Sabich trained forward: each release continues from the previous weights on all the recordings collected so far.",
     "variants": [
      {
       "label": "ONNX",
       "id": "Hebrish/Sabich-Rolling-ONNX"
      },
      {
       "label": "sherpa-onnx int8",
       "id": "Hebrish/Sabich-Rolling-sherpa-onnx-int8"
      }
     ],
     "owner": "Hebrish",
     "gated": true,
     "license": "cc-by-nc-4.0",
     "base_model": "Hebrish/Sabich",
     "modified": "2026-11-05"
    },
    {
     "id": "Hebrish/Shakshuka",
     "name": "Shakshuka",
     "type": "ASR · Nemotron streaming",
     "summary": "The streaming line: text appears while you speak. Trained on the same everything-in-it data as Sabich.",
     "variants": [
      {
       "label": "GGUF",
       "id": "Hebrish/Shakshuka-GGUF"
      },
      {
       "label": "sherpa-onnx int8",
       "id": "Hebrish/Shakshuka-sherpa-onnx-int8"
      }
     ],
     "owner": "Hebrish",
     "gated": true,
     "license": "cc-by-nc-4.0",
     "base_model": "nvidia/nemotron-speech-streaming-en-0.6b",
     "modified": "2026-11-04"
    },
    {
     "id": "Hebrish/Whisper-Hebrish-Small-ACFT",
     "name": "Whisper Hebrish Small ACFT",
     "type": "ASR · Whisper",
     "summary": "Phone-sized Whisper fine-tune for English speech with Hebrew words, built to run inside FUTO Keyboard and FUTO Voice Input on Android.",
     "owner": "Hebrish",
     "gated": true,
     "license": "mit",
     "base_model": "openai/whisper-small.en",
     "modified": "2026-10-30",
     "variants": []
    }
   ]
  },
  {
   "slug": "small",
   "name": "Small models and classifiers",
   "tab": "Small models",
   "models": [
    {
     "id": "danielrosehill/Gemma-3-270M-ASR-Paragraph-Breaks",
     "name": "Gemma 3 270M ASR Paragraph Breaks",
     "type": "Text clean-up",
     "summary": "Adds paragraph breaks to flat speech-to-text output and changes nothing else.",
     "variants": [
      {
       "label": "ONNX",
       "id": "danielrosehill/Gemma-3-270M-ASR-Paragraph-Breaks-ONNX"
      }
     ],
     "owner": "danielrosehill",
     "gated": false,
     "license": "gemma",
     "base_model": "google/gemma-3-270m-it",
     "modified": "2026-10-21"
    },
    {
     "id": "danielrosehill/Gemma-3-270M-Email-Key-Line-Bolding",
     "name": "Gemma 3 270M Email Key Line Bolding",
     "type": "Text clean-up",
     "summary": "Puts the key parts of a dictated email in Markdown bold, and changes nothing else.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "gemma",
     "base_model": "google/gemma-3-270m-it",
     "modified": "2026-10-21",
     "variants": []
    },
    {
     "id": "Hebrish/Hebrew-Latin-Token-Classifier",
     "name": "Hebrew-Latin Token Classifier",
     "type": "Token classifier",
     "summary": "Finds Hebrew words written in Latin letters inside English text.",
     "owner": "Hebrish",
     "gated": false,
     "license": "mit",
     "base_model": "FacebookAI/xlm-roberta-base",
     "modified": "2026-10-30",
     "variants": []
    },
    {
     "id": "danielrosehill/Hey-Yossi-microWakeWord",
     "name": "Hey Yossi microWakeWord",
     "type": "Wake word",
     "summary": "Custom \"Hey Yossi\" wake word for microWakeWord: a streaming, int8 TFLite model of 61 KB.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "cc-by-nc-4.0",
     "base_model": null,
     "modified": "2026-10-29",
     "variants": []
    },
    {
     "id": "danielrosehill/Hey-Yossi-openWakeWord",
     "name": "Hey Yossi openWakeWord",
     "type": "Wake word",
     "summary": "Custom \"Hey Yossi\" wake word for openWakeWord, a small classifier that runs in real time on any CPU.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "cc-by-nc-4.0",
     "base_model": null,
     "modified": "2026-10-29",
     "variants": []
    },
    {
     "id": "danielrosehill/inventory-spec-extractor",
     "name": "Inventory Spec Extractor",
     "type": "Token classifier",
     "summary": "Finds structured attributes in one line of a free-text product specification. 33M parameters, int8 ONNX, about 34 MB.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "apache-2.0",
     "base_model": "BAAI/bge-small-en-v1.5",
     "modified": "2026-10-15",
     "variants": []
    },
    {
     "id": "danielrosehill/MiniLM-L12-ASR-Paragraph-Breaks",
     "name": "MiniLM L12 ASR Paragraph Breaks",
     "type": "Token classifier",
     "summary": "Decides, word by word, where a new paragraph starts in flat speech-to-text output. A classifier, not a generator.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "mit",
     "base_model": "microsoft/MiniLM-L12-H384-uncased",
     "modified": "2026-10-24",
     "variants": []
    },
    {
     "id": "danielrosehill/S1-ASR-Cleanup",
     "name": "S1 ASR Cleanup",
     "type": "Text clean-up",
     "summary": "Fine-tune of Superwhisper's S1-mini (Qwen3-0.6B) that cleans raw speech-to-text dictation the way one user edits his own.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "other",
     "base_model": "superwhisper/s1-mini",
     "modified": "2026-10-30",
     "variants": []
    },
    {
     "id": "danielrosehill/Voice-Note-Intent-Classifier",
     "name": "Voice Note Intent Classifier",
     "type": "Text classifier",
     "summary": "Multi-label classifier that reads a voice-note transcript and predicts its intent, such as shopping list, to-do or email draft, so an agent can route it.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "mit",
     "base_model": "BAAI/bge-base-en-v1.5",
     "modified": "2026-10-15",
     "variants": []
    }
   ]
  },
  {
   "slug": "niche",
   "name": "Niche and specialist models",
   "tab": "Specialist",
   "models": [
    {
     "id": "danielrosehill/Agent-Task-Break-Detector-ModernBERT",
     "name": "Agent Task Break Detector (ModernBERT)",
     "type": "Agent harness",
     "summary": "Runs on each user turn of an AI agent session and judges whether the message is a new task, so a harness hook can start a fresh session.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "apache-2.0",
     "base_model": "answerdotai/ModernBERT-base",
     "modified": "2026-10-25",
     "variants": []
    },
    {
     "id": "danielrosehill/Contextual-Sentence-Creator",
     "name": "Contextual Sentence Creator",
     "type": "Sentence generation",
     "summary": "Given a term, a one-line context and a count, returns that many natural English sentences using the term, as JSON.",
     "variants": [
      {
       "label": "GGUF",
       "id": "danielrosehill/Contextual-Sentence-Creator-GGUF"
      }
     ],
     "owner": "danielrosehill",
     "gated": false,
     "license": "apache-2.0",
     "base_model": "ibm-granite/granite-4.2-3b",
     "modified": "2026-11-03"
    },
    {
     "id": "danielrosehill/Dinosaur-Sloth",
     "name": "Dinosaur Sloth",
     "type": "Image LoRA · FLUX",
     "summary": "FLUX LoRA made from photos of a sloth plushie wearing a dinosaur costume.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "mit",
     "base_model": "black-forest-labs/FLUX.1-dev",
     "modified": "2025-11-06",
     "variants": []
    },
    {
     "id": "danielrosehill/Herman-Poppleberry",
     "name": "Herman Poppleberry",
     "type": "Image LoRA · FLUX",
     "summary": "FLUX character LoRA made from photos of a handcrafted donkey plushie.",
     "owner": "danielrosehill",
     "gated": false,
     "license": null,
     "base_model": "black-forest-labs/FLUX.1-dev",
     "modified": "2025-11-06",
     "variants": []
    },
    {
     "id": "danielrosehill/Jerusalem-Images",
     "name": "Jerusalem Images",
     "type": "Image LoRA · FLUX",
     "summary": "FLUX LoRA for realistic images of Jerusalem, trained on West Jerusalem streetscapes photographed in summer 2025.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "mit",
     "base_model": "black-forest-labs/FLUX.1-dev",
     "modified": "2025-11-06",
     "variants": []
    },
    {
     "id": "danielrosehill/jerusalem-poster-detector",
     "name": "Jerusalem Poster Detector",
     "type": "Object detection",
     "summary": "YOLO11n fine-tune that locates specific poster designs in street photographs and names the design it found.",
     "owner": "danielrosehill",
     "gated": false,
     "license": "cc-by-4.0",
     "base_model": null,
     "modified": "2026-09-01",
     "variants": []
    },
    {
     "id": "Hebrish/Meorav",
     "name": "Meorav",
     "type": "Text to speech",
     "summary": "Single-speaker Qwen3-TTS fine-tune on Daniel Rosehill's voice: Irish-accented English with Hebrew words mixed in.",
     "variants": [
      {
       "label": "GGUF",
       "id": "Hebrish/Meorav-GGUF"
      }
     ],
     "owner": "Hebrish",
     "gated": true,
     "license": "cc-by-nc-4.0",
     "base_model": "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
     "modified": "2026-10-22"
    },
    {
     "id": "danielrosehill/Proximate-Pseudonymizer-0.6B",
     "name": "Proximate Pseudonymizer 0.6B",
     "type": "Privacy",
     "summary": "Rewrites a text with its identifying details swapped for close, plausible substitutes. Still leaves about 9% unchanged, so check every output.",
     "status": "Proof of concept",
     "owner": "danielrosehill",
     "gated": false,
     "license": "apache-2.0",
     "base_model": "Qwen/Qwen3-0.6B",
     "modified": "2026-10-21",
     "variants": []
    },
    {
     "id": "danielrosehill/Tel-Aviv-Street-Style",
     "name": "Tel Aviv Street Style",
     "type": "Image LoRA · FLUX",
     "summary": "FLUX LoRA for Tel Aviv street scenes. Trigger word: TLVSCENE.",
     "owner": "danielrosehill",
     "gated": false,
     "license": null,
     "base_model": "black-forest-labs/FLUX.1-dev",
     "modified": "2025-11-06",
     "variants": []
    }
   ]
  }
 ]
}