Spaces:
Running
Running
File size: 15,525 Bytes
1b02f77 310ba45 1b02f77 310ba45 1b02f77 310ba45 1b02f77 310ba45 1b02f77 310ba45 1b02f77 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 | {
"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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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 路 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": []
}
]
}
]
}
|