1,000 models · refreshed nightly
Models that run on Mac M3 · 24 GB
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On Mac M3 · 24 GB |
|---|---|---|---|---|---|---|
| 351 | efficientnet_b2.ra_in1k | 10 M | — | ✓ apache-2.0 | 314 K | 0.5 GB |
| 352 | edgenext_small.usi_in1k | 10 M | — | ✓ mit | 313 K | 0.5 GB |
| 353 | granite-4.1-3b | 3.4 B | 131 K | ✓ apache-2.0 | 312 K | 8.5 GB |
| 354 | RMBG-1.4 | 40 M | — | other | 310 K | 0.7 GB |
| 355 | segformer_b2_clothes | 30 M | — | other | 308 K | 0.6 GB |
| 356 | voice-gender-classifier | 20 M | — | ✓ mit | 307 K | 0.6 GB |
| 357 | Jan-v3.5-4B-gguf | — | — | ✓ apache-2.0 | 306 K | 2.8 GB |
| 358 | Qwen2.5-3B | 3.1 B | 33 K | other | 306 K | 7.8 GB |
| 359 | xlm-roberta-base-ner-hrl | 280 M | 512 | ✓ afl-3.0 | 304 K | 1.8 GB |
| 360 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 301 K | 17.7 GB |
| 361 | phishing-email-detection-distilbert_v2.4.1 | 70 M | 512 | ✓ apache-2.0 | 301 K | 0.8 GB |
| 362 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 294 K | 1.7 GB |
| 363 | Meta-Llama-3.1-8B-Instruct-GGUF | — | — | ⚠ llama3.1 | 294 K | 3.7 GB |
| 364 | mms-lid-126 | 970 M | — | ✗ cc-by-nc-4.0 | 291 K | 4.9 GB |
| 365 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 291 K | 1.3 GB |
| 366 | CommunityForensics-DeepfakeDet-ViT | 40 M | — | ✓ mit | 290 K | 0.7 GB |
| 367 | rtdetr_v2_r18vd | 20 M | — | ✓ apache-2.0 | 289 K | 0.6 GB |
| 368 | SmolLM-135M | 130 M | 2 K | ✓ apache-2.0 | 288 K | 1.1 GB |
| 369 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 287 K | 3.4 GB |
| 370 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 286 K | 2.0 GB |
| 371 | gemma-4-12B-coder-fable5-composer2.5-v1-GGUF | — | — | ✓ apache-2.0 | 286 K | 5.8 GB |
| 372 | roberta-large-mnli | 360 M | 512 | ✓ mit | 285 K | 2.1 GB |
| 373 | llama-7b | 6.7 B | 2 K | other | 285 K | 16.3 GB |
| 374 | vit_small_patch16_224.augreg_in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 283 K | 0.6 GB |
| 375 | Qwen2.5-7B-Instruct-GPTQ-Int4 | 7.6 B | 33 K | ✓ apache-2.0 | 282 K | 7.8 GB |
| 376 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 279 K | 0.9 GB |
| 377 | granite-4.0-h-tiny | 6.9 B | 131 K | ✓ apache-2.0 | 279 K | 16.8 GB |
| 378 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 278 K | 5.8 GB |
| 379 | Qwen3-8B-GGUF | — | 41 K | ✓ apache-2.0 | 277 K | 4.1 GB |
| 380 | open-vakgyata | 60 M | — | ✗ cc-by-nc-4.0 | 274 K | 0.8 GB |
| 381 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 274 K | 3.2 GB |
| 382 | MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF | — | — | ✓ apache-2.0 | 265 K | 1.8 GB |
| 383 | Qwen2.5-Math-1.5B | 1.5 B | 4 K | ✓ apache-2.0 | 265 K | 4.1 GB |
| 384 | madlad400-3b-mt | 2.9 B | — | ✓ apache-2.0 | 263 K | 2.8 GB |
| 385 | gemma-2-2b | 2.6 B | — | ⚠ gemma | 263 K | 12.4 GB |
| 386 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 263 K | 1.3 GB |
| 387 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 258 K | 10.4 GB |
| 388 | plant-identity | 90 M | — | unknown | 257 K | 0.9 GB |
| 389 | t5-3b | 2.9 B | — | ✓ apache-2.0 | 255 K | 13.5 GB |
| 390 | Sugoi-32B-Ultra-GGUF | — | — | ✓ apache-2.0 | 254 K | 14.0 GB |
| 391 | OLMoE-1B-7B-0125-Instruct | 6.9 B | 4 K | ✓ apache-2.0 | 251 K | 16.8 GB |
| 392 | bert-base-multilingual-cased-ner-hrl | 180 M | 512 | ✓ afl-3.0 | 249 K | 1.3 GB |
| 393 | span-marker-bert-base-uncased-acronyms | 110 M | — | ✓ apache-2.0 | 247 K | 1.0 GB |
| 394 | Bielik-11B-v3.0-Instruct-awq | 11.3 B | 33 K | ✓ apache-2.0 | 247 K | 9.0 GB |
| 395 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | 3.0 GB |
| 396 | wav2vec2-large-robust-24-ft-age-gender | 320 M | — | ✗ cc-by-nc-sa-4.0 | 246 K | 1.9 GB |
| 397 | pythia-410m | 510 M | 2 K | ✓ apache-2.0 | 244 K | 1.6 GB |
| 398 | llama-160m | 160 M | 2 K | ✓ apache-2.0 | 243 K | 1.2 GB |
| 399 | hubert-large-speech-emotion-recognition-russian-dusha-finetuned | 320 M | — | ✓ apache-2.0 | 243 K | 1.9 GB |
| 400 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 242 K | 9.5 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.