1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on Mac M3 · 24 GB
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On Mac M3 · 24 GB |
|---|---|---|---|---|---|---|
| 301 | msmarco-bert-base-dot-v5 | 110 M | 512 | unknown | 528 K | 1.0 GB |
| 302 | granite-4.1-3b | 3.4 B | 131 K | ✓ apache-2.0 | 524 K | 8.5 GB |
| 303 | Qwen3-ASR-0.6B-hf | 782 M | — | ✓ apache-2.0 | 524 K | 2.3 GB |
| 304 | bert-base-turkish-cased-mean-nli-stsb-tr | 110 M | 512 | ✓ apache-2.0 | 523 K | 1.0 GB |
| 305 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 521 K | 1.3 GB |
| 306 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 520 K | 1.3 GB |
| 307 | snowflake-arctic-embed-l | 334 M | 512 | ✓ apache-2.0 | 519 K | 2.0 GB |
| 308 | Qwen3-VL-Embedding-2B | 2.1 B | — | ✓ apache-2.0 | 517 K | 5.5 GB |
| 309 | jina-embeddings-v5-text-nano | 210 M | 8 K | ✗ cc-by-nc-4.0 | 515 K | 1.1 GB |
| 310 | langcache-embed-v1 | 149 M | 8 K | unknown | 514 K | 1.2 GB |
| 311 | Pruna-Qage-2.1 | 7.1 B | — | other | 514 K | 2.3 GB |
| 312 | Pruna-Qwen-Image-2.1 | 7.1 B | — | other | 513 K | 2.3 GB |
| 313 | Qwen3.8-2B-Distill-GGUF | — | — | ✓ apache-2.0 | 510 K | 1.9 GB |
| 314 | Pruna-Q-Image-2.1 | 7.1 B | — | other | 510 K | 2.3 GB |
| 315 | deepset-mxbai-embed-de-large-v1 | 487 M | 512 | ✓ apache-2.0 | 504 K | 1.6 GB |
| 316 | POCKET-35B-GGUF | 35.0 B | — | ✓ apache-2.0 | 504 K | 14.8 GB |
| 317 | snowflake-arctic-embed-s | 30 M | 512 | ✓ apache-2.0 | 496 K | 0.7 GB |
| 318 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 494 K | 1.3 GB |
| 319 | Sage-A1.5-Q8_0-GGUF | — | — | ✓ apache-2.0 | 490 K | 1.5 GB |
| 320 | Qwen3-Coder-30B-A3B-Instruct-GGUF | — | — | ✓ apache-2.0 | 486 K | 12.9 GB |
| 321 | Voxtral-Mini-4B-Realtime-2602-gguf | 4.0 B | — | ✓ apache-2.0 | 485 K | 4.2 GB |
| 322 | stable-diffusion-v1-4 | 860 M | — | ⚠ creativeml-openrail-m | 483 K | 13.5 GB |
| 323 | Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 | 7.6 B | 33 K | ✓ apache-2.0 | 482 K | 7.8 GB |
| 324 | Qwen3.8-27B-DFlash2-GGUF | — | — | ✓ apache-2.0 | 481 K | 1.8 GB |
| 325 | NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF | 4.0 B | — | other | 481 K | 5.0 GB |
| 326 | Llama-3.2-1B | 1.2 B | — | ⚠ llama3.2 | 477 K | 3.4 GB |
| 327 | embeddinggemma-2 | 744 M | — | ✓ apache-2.0 | 475 K | 2.2 GB |
| 328 | sentence-bert-base-ja-mean-tokens-v2 | 110 M | 512 | cc-by-sa-4.0 | 474 K | 1.0 GB |
| 329 | llama-3-8b-Instruct-bnb-4bit | 8.2 B | 8 K | ⚠ llama3 | 472 K | 8.0 GB |
| 330 | wav2vec2-large-xlsr-japanese-hiragana | 320 M | — | ✓ apache-2.0 | 472 K | 1.9 GB |
| 331 | nli-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 472 K | 1.0 GB |
| 332 | bge-small-en-v1.5 | 33 M | 512 | ✓ mit | 470 K | 0.7 GB |
| 333 | JiRackDeltaNet_27b | 27.3 B | 262 K | ✓ mit | 468 K | 16.5 GB |
| 334 | wav2vec2-large-xlsr-kazakh | 320 M | — | ✓ apache-2.0 | 466 K | 1.9 GB |
| 335 | pplx-embed-v1-0.6b | 600 M | 33 K | ✓ mit | 461 K | 3.2 GB |
| 336 | rubert-tiny2 | 30 M | 2 K | ✓ mit | 460 K | 0.6 GB |
| 337 | nsfw_image_detector | 90 M | — | ✓ mit | 460 K | 0.7 GB |
| 338 | sat-3l-sm | 210 M | 514 | ✓ mit | 460 K | 1.5 GB |
| 339 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 459 K | 1.0 GB |
| 340 | gpt-neo-125m | 150 M | 2 K | ✓ mit | 458 K | 1.1 GB |
| 341 | mimi | 100 M | 8 K | ✓ cc-by-4.0 | 458 K | 0.9 GB |
| 342 | multilingual-e5-small | 120 M | 512 | unknown | 456 K | 0.8 GB |
| 343 | MedCPT-Query-Encoder | 110 M | 512 | other | 454 K | 1.0 GB |
| 344 | sd-turbo | 870 M | — | unknown | 454 K | 14.9 GB |
| 345 | open-vakgyata | 60 M | — | ✗ cc-by-nc-4.0 | 453 K | 0.8 GB |
| 346 | gte-base-en-v1.5 | 137 M | 8 K | ✓ apache-2.0 | 452 K | 1.1 GB |
| 347 | Qwen3-4B-Base | 4.0 B | 33 K | ✓ apache-2.0 | 447 K | 10.0 GB |
| 348 | Mellum2.1-12B-A2.5B-Thinking-GGUF | 12.0 B | — | ✓ apache-2.0 | 446 K | 11.5 GB |
| 349 | MiniCPM5-2B-GGUF | 2.0 B | — | ✓ apache-2.0 | 446 K | 2.5 GB |
| 350 | Qwen2.5-Coder-3B-Instruct | 3.1 B | 33 K | other | 441 K | 7.8 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.