Model navigator: public models across danielrosehill and Hebrish

README.md

@@ -1,10 +1,71 @@
 ---
 title: Model Navigator
-emoji: 🏆
-colorFrom: indigo
-colorTo: indigo
+emoji: 🧭
+colorFrom: green
+colorTo: gray
 sdk: static
+app_file: index.html
 pinned: false
+license: cc-by-4.0
+short_description: Browse Daniel Rosehill's public AI models
+models:
+  - danielrosehill/Agent-Task-Break-Detector-ModernBERT
+  - danielrosehill/Contextual-Sentence-Creator
+  - danielrosehill/Contextual-Sentence-Creator-GGUF
+  - danielrosehill/Dinosaur-Sloth
+  - danielrosehill/Fritter
+  - danielrosehill/Fritter-Nemotron-0.6B
+  - danielrosehill/Fritter-Nemotron-0.6B-sherpa-onnx-int8
+  - danielrosehill/Gemma-3-270M-ASR-Paragraph-Breaks
+  - danielrosehill/Gemma-3-270M-ASR-Paragraph-Breaks-ONNX
+  - danielrosehill/Gemma-3-270M-Email-Key-Line-Bolding
+  - danielrosehill/hebrew-latin-token-classifier
+  - danielrosehill/Herman-Poppleberry
+  - danielrosehill/Hey-Yossi-microWakeWord
+  - danielrosehill/Hey-Yossi-openWakeWord
+  - danielrosehill/inventory-spec-extractor
+  - danielrosehill/Jerusalem-Images
+  - danielrosehill/jerusalem-poster-detector
+  - danielrosehill/MiniLM-L12-ASR-Paragraph-Breaks
+  - danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching
+  - danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching-GGUF
+  - danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching-ONNX
+  - danielrosehill/Proximate-Pseudonymizer-0.6B
+  - danielrosehill/S1-ASR-Cleanup
+  - danielrosehill/Tel-Aviv-Street-Style
+  - danielrosehill/Voice-Note-Intent-Classifier
+  - danielrosehill/Whisper-Hebrish
+  - Hebrish/Boxty-sherpa-onnx-int8
+  - Hebrish/Hebrew-Latin-Token-Classifier
+  - Hebrish/Jachnun
+  - Hebrish/Jachnun-GGUF
+  - Hebrish/Jachnun-MLX
+  - Hebrish/Jachnun-ONNX
+  - Hebrish/Jachnun-sherpa-onnx-int8
+  - Hebrish/Meorav
+  - Hebrish/Meorav-GGUF
+  - Hebrish/Nemotron-Speech-Streaming-EN-0.6B-English-Hebrew-Codeswitching
+  - Hebrish/Parakeet-TDT-0.6B-v2-Tech-And-Accent
+  - Hebrish/Sabich
+  - Hebrish/Sabich-asr4all-M
+  - Hebrish/Sabich-asr4all-S
+  - Hebrish/Sabich-Canary-Qwen-2.5B
+  - Hebrish/Sabich-GGUF
+  - Hebrish/Sabich-MLX
+  - Hebrish/Sabich-ONNX
+  - Hebrish/Sabich-Parakeet-110M
+  - Hebrish/Sabich-Parakeet-110M-GGUF
+  - Hebrish/Sabich-Parakeet-110M-sherpa-onnx-int8
+  - Hebrish/Sabich-Qwen3-ASR-1.7B
+  - Hebrish/Sabich-Qwen3-ASR-1.7B-GGUF
+  - Hebrish/Sabich-Rolling
+  - Hebrish/Sabich-Rolling-ONNX
+  - Hebrish/Sabich-Rolling-sherpa-onnx-int8
+  - Hebrish/Sabich-sherpa-onnx-int8
+  - Hebrish/Shakshuka
+  - Hebrish/Shakshuka-GGUF
+  - Hebrish/Shakshuka-sherpa-onnx-int8
+  - Hebrish/Whisper-Hebrish-Small-ACFT
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Navigator for Daniel Rosehill's public models, on the `danielrosehill` account and the Hebrish organisation.

app.js

@@ -0,0 +1,41 @@
+const HF = "https://huggingface.co/";
+const esc = (s) => String(s ?? "").replace(/[&<>"]/g, (c) => ({ "&": "&amp;", "<": "&lt;", ">": "&gt;", '"': "&quot;" }[c]));
+const link = (id, text) => `<a href="${esc(HF + id)}" target="_blank" rel="noopener">${esc(text)}</a>`;
+
+function card(m) {
+  const org = m.owner === "Hebrish";
+  const meta = [];
+  if (m.base_model) meta.push("Base: " + link(m.base_model, m.base_model.split("/")[1]));
+  if (m.license) meta.push(esc(m.license));
+  const badges = [];
+  if (m.status) badges.push(`<span class="badge">${esc(m.status)}</span>`);
+  if (m.gated) badges.push('<span class="badge">Access request</span>');
+  return `<article class="card">
+    <div class="who"><img src="${org ? "hebrish.webp" : "daniel.webp"}" alt=""><span>${esc(m.owner)} · ${esc(m.type)}</span></div>
+    <h3>${link(m.id, m.name)}</h3><p>${esc(m.summary)}</p>
+    ${badges.length ? `<div class="meta">${badges.join("")}</div>` : ""}
+    <div class="meta">${meta.join("<span>·</span>")}</div>
+    ${m.variants.length ? `<div class="meta">${m.variants.map((v) => link(v.id, v.label)).join("")}</div>` : ""}</article>`;
+}
+
+(async () => {
+  const data = await (await fetch("data.json")).json();
+  const q = document.getElementById("q"), out = document.getElementById("list"), tabs = document.getElementById("tabs");
+  const cards = data.groups.reduce((n, g) => n + g.models.length, 0);
+  document.getElementById("built").textContent = data.built;
+  document.getElementById("count").textContent = `${cards} models across ${data.repos} repositories.`;
+  const draw = () => {
+    const section = data.groups.some((g) => g.slug === location.hash.slice(1)) ? location.hash.slice(1) : "";
+    tabs.innerHTML = [{ slug: "", name: "All", models: data.groups.flatMap((g) => g.models) }, ...data.groups]
+      .map((g) => `<a href="#${g.slug}"${g.slug === section ? ' aria-current="page"' : ""}>${esc(g.name)} (${g.models.length})</a>`).join("");
+    const term = q.value.trim().toLowerCase();
+    const match = (m) => [m.id, m.name, m.type, m.summary, m.base_model, ...m.variants.flatMap((v) => [v.id, v.label])].join(" ").toLowerCase().includes(term);
+    out.innerHTML = data.groups.filter((g) => !section || g.slug === section)
+      .map((g) => [g, g.models.filter(match)]).filter(([, hit]) => hit.length)
+      .map(([g, hit]) => `<h2>${esc(g.name)}</h2><div class="grid">${hit.map(card).join("")}</div>`).join("")
+      || '<p class="empty">No models match.</p>';
+  };
+  q.addEventListener("input", draw);
+  addEventListener("hashchange", draw);
+  draw();
+})();

data.json

@@ -0,0 +1,541 @@
+{
+ "built": "2026-11-07",
+ "repos": 57,
+ "groups": [
+  {
+   "slug": "asr",
+   "name": "ASR models and fine-tunes",
+   "models": [
+    {
+     "id": "Hebrish/Parakeet-TDT-0.6B-v2-Tech-And-Accent",
+     "name": "Boxty",
+     "type": "ASR · Parakeet",
+     "summary": "English dictation without Hebrew: tech vocabulary, brand names, acronyms, numbers and currency in digits, homophones and Irish-English phrasing.",
+     "variants": [
+      {
+       "label": "sherpa-onnx int8",
+       "id": "Hebrish/Boxty-sherpa-onnx-int8"
+      }
+     ],
+     "owner": "Hebrish",
+     "gated": true,
+     "license": "cc-by-4.0",
+     "base_model": "nvidia/parakeet-tdt-0.6b-v2",
+     "modified": "2026-10-22"
+    },
+    {
+     "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": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching",
+     "name": "Parakeet TDT 0.6B v2 English-Hebrew Codeswitching",
+     "type": "ASR · Parakeet",
+     "summary": "Proof-of-concept checkpoints of the Hebrish code-switching model, kept for the DOI and version history.",
+     "status": "Superseded by Sabich",
+     "variants": [
+      {
+       "label": "GGUF",
+       "id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching-GGUF"
+      },
+      {
+       "label": "ONNX",
+       "id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching-ONNX"
+      }
+     ],
+     "owner": "danielrosehill",
+     "gated": true,
+     "license": "cc-by-4.0",
+     "base_model": "nvidia/parakeet-tdt-0.6b-v2",
+     "modified": "2026-10-29"
+    },
+    {
+     "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": "danielrosehill/Whisper-Hebrish",
+     "name": "Whisper Hebrish",
+     "type": "ASR · Whisper",
+     "summary": "Early experiment in English-Hebrew code-switching on Whisper large-v3-turbo, kept for the DOI and version history.",
+     "status": "Superseded by Jachnun",
+     "owner": "danielrosehill",
+     "gated": true,
+     "license": "mit",
+     "base_model": "openai/whisper-large-v3-turbo",
+     "modified": "2026-10-20",
+     "variants": []
+    },
+    {
+     "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",
+   "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.",
+     "variants": [
+      {
+       "label": "danielrosehill copy",
+       "id": "danielrosehill/hebrew-latin-token-classifier"
+      }
+     ],
+     "owner": "Hebrish",
+     "gated": false,
+     "license": "mit",
+     "base_model": "FacebookAI/xlm-roberta-base",
+     "modified": "2026-10-30"
+    },
+    {
+     "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",
+   "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": []
+    }
+   ]
+  }
+ ]
+}

index.html

@@ -1,19 +1,18 @@
 <!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
-</html>
+<html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1">
+<title>Model Navigator</title><link rel="stylesheet" href="style.css"></head>
+<body><main>
+<h1>Model Navigator</h1>
+<p class="lede">Daniel Rosehill's public AI models in one place: speech recognition fine-tunes, small classifiers and a few specialist models, from the danielrosehill account and the Hebrish organisation. Format builds such as GGUF and ONNX are linked from the card of the model they come from.</p>
+<nav class="links">
+<a href="https://huggingface.co/danielrosehill" target="_blank" rel="noopener">danielrosehill</a>
+<a href="https://huggingface.co/Hebrish" target="_blank" rel="noopener">Hebrish</a>
+<a href="https://hebrish.app" target="_blank" rel="noopener">hebrish.app</a>
+<a href="https://huggingface.co/spaces/danielrosehill/Audio-Dataset-Navigator" target="_blank" rel="noopener">Audio Dataset Navigator</a>
+<a href="https://huggingface.co/spaces/danielrosehill/Sentence-Dataset-Navigator" target="_blank" rel="noopener">Sentence Dataset Navigator</a>
+</nav>
+<nav class="tabs" id="tabs" aria-label="Sections"></nav>
+<div class="controls"><input id="q" type="search" placeholder="Search models" aria-label="Search models"></div>
+<div id="list"></div>
+<footer><span id="count"></span> Data from the Hugging Face Hub, built <span id="built"></span>.</footer>
+</main><script src="app.js"></script></body></html>

style.css

@@ -1,28 +1,31 @@
-body {
-	padding: 2rem;
-	font-family: -apple-system, BlinkMacSystemFont, "Arial", sans-serif;
-}
-
-h1 {
-	font-size: 16px;
-	margin-top: 0;
-}
-
-p {
-	color: rgb(107, 114, 128);
-	font-size: 15px;
-	margin-bottom: 10px;
-	margin-top: 5px;
-}
-
-.card {
-	max-width: 620px;
-	margin: 0 auto;
-	padding: 16px;
-	border: 1px solid lightgray;
-	border-radius: 16px;
-}
-
-.card p:last-child {
-	margin-bottom: 0;
-}
+:root{--bg:#f7f7f4;--card:#fff;--ink:#1d2327;--muted:#5d676e;--line:#dfe2dd;--accent:#0b6e69;--soft:#e3f1ef;--gate:#8a5a00;--gatebg:#fbf0d9}
+*{box-sizing:border-box}
+body{margin:0;background:var(--bg);color:var(--ink);font:16px/1.5 system-ui,-apple-system,"Segoe UI",sans-serif}
+main{max-width:1080px;margin:0 auto;padding:32px 20px 56px}
+a{color:var(--accent)}
+h1{font-size:2rem;line-height:1.2;margin:0 0 8px}
+h2{font-size:1.15rem;margin:32px 0 12px}
+.lede{color:var(--muted);max-width:72ch;margin:0 0 14px}
+nav.links{display:flex;flex-wrap:wrap;gap:8px 18px;margin:0 0 20px;font-size:.95rem}
+nav.tabs{display:flex;gap:4px;border-bottom:1px solid var(--line);margin:0 0 22px}
+nav.tabs a{padding:8px 14px;text-decoration:none;color:var(--muted);border-bottom:3px solid transparent}
+nav.tabs a[aria-current]{color:var(--ink);border-color:var(--accent);font-weight:600}
+.stats{display:flex;flex-wrap:wrap;gap:10px 28px;margin:0 0 20px;color:var(--muted);font-size:.95rem}
+.stats b{color:var(--ink);font-size:1.15rem}
+.controls{display:flex;flex-wrap:wrap;gap:10px;align-items:center;margin-bottom:6px}
+input[type=search]{flex:1 1 240px;padding:9px 12px;border:1px solid var(--line);border-radius:6px;font:inherit;background:#fff}
+select{padding:9px 10px;border:1px solid var(--line);border-radius:6px;font:inherit;background:#fff}
+.grid{display:grid;grid-template-columns:repeat(auto-fill,minmax(310px,1fr));gap:14px}
+.card{background:var(--card);border:1px solid var(--line);border-radius:8px;padding:14px 16px;display:flex;flex-direction:column;gap:8px}
+.card.master{grid-column:1/-1;border-color:var(--accent);border-width:2px}
+.who{display:flex;align-items:center;gap:8px;font-size:.82rem;color:var(--muted)}
+.who img{width:24px;height:24px;border-radius:5px;object-fit:cover}
+.card h3{margin:0;font-size:1.05rem;line-height:1.3}
+.card h3 a{text-decoration:none;color:var(--ink)}
+.card h3 a:hover{color:var(--accent);text-decoration:underline}
+.card p{margin:0;color:var(--muted);font-size:.93rem}
+.meta{display:flex;flex-wrap:wrap;gap:6px 12px;font-size:.84rem;color:var(--muted);margin-top:auto;align-items:center}
+.badge{background:var(--gatebg);color:var(--gate);padding:1px 7px;border-radius:4px}
+.empty{color:var(--muted);padding:24px 0}
+footer{margin-top:40px;padding-top:14px;border-top:1px solid var(--line);color:var(--muted);font-size:.86rem}
+@media(max-width:520px){h1{font-size:1.6rem}main{padding:22px 14px 40px}}