1,000 models · refreshed nightly
All models
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 | Min VRAM |
|---|---|---|---|---|---|---|
| 501 | Qwen3-VL-Embedding-8B-FP8 | 8.8 B | — | ✓ apache-2.0 | 525 K | from 13.5 GB |
| 502 | wav2vec2-large-xlsr-53-estonian | — | — | ✓ apache-2.0 | 523 K | — |
| 503 | Qwen2.5-32B-Instruct-GPTQ-Int4 | 32.8 B | 33 K | ✓ apache-2.0 | 522 K | from 26.7 GB |
| 504 | Qwen3-Coder-Next | 79.7 B | 262 K | ✓ apache-2.0 | 521 K | from 187.7 GB |
| 505 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 520 K | from 5.3 GB |
| 506 | faster-whisper-base.en | — | — | ✓ mit | 517 K | — |
| 507 | distil-large-v3 | 760 M | — | ✓ mit | 517 K | from 5.6 GB |
| 508 | jina-embeddings-v5-text-nano | 210 M | 8 K | ✗ cc-by-nc-4.0 | 515 K | from 1.1 GB |
| 509 | qwen3-4b-base-dapo-v4 | 4.0 B | 33 K | ✓ apache-2.0 | 515 K | from 10.0 GB |
| 510 | Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 | 7.6 B | 33 K | ✓ apache-2.0 | 515 K | from 7.8 GB |
| 511 | Qwen3.6-27B-Text-NVFP4-MTP | 16.7 B | — | ✓ apache-2.0 | 514 K | from 24.6 GB |
| 512 | Realistic_Vision_V5.1_noVAE | 860 M | — | ⚠ creativeml-openrail-m | 509 K | from 19.4 GB |
| 513 | llama-3.3-70b-instruct-awq | 70.6 B | 131 K | ⚠ llama3.3 | 507 K | from 54.8 GB |
| 514 | open-vakgyata | 60 M | — | ✗ cc-by-nc-4.0 | 507 K | from 0.8 GB |
| 515 | GLM-5.3-GGUF | — | — | other | 506 K | from 52.0 GB |
| 516 | bloom-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 502 K | from 1.8 GB |
| 517 | wav2vec2-xls-r-300m-sk-cv8 | 300 M | — | ✓ apache-2.0 | 502 K | from 1.2 GB |
| 518 | lambda | — | — | unknown | 498 K | from 0.5 GB |
| 519 | Ornith-1.5-397B-NVFP4 | 202.6 B | — | ✓ mit | 498 K | from 296.8 GB |
| 520 | Qwen3-30B-A3B-Instruct-2507-FP8 | 30.5 B | 262 K | ✓ apache-2.0 | 498 K | from 39.4 GB |
| 521 | VibeVoice-1.5B | 2.7 B | — | ✓ mit | 497 K | from 6.9 GB |
| 522 | snowflake-arctic-embed-s | 30 M | 512 | ✓ apache-2.0 | 496 K | from 0.7 GB |
| 523 | hubert-base-ls960 | — | — | ✓ apache-2.0 | 496 K | — |
| 524 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 492 K | from 0.9 GB |
| 525 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 492 K | from 1.9 GB |
| 526 | resnet34.a1_in1k | 20 M | — | ✓ apache-2.0 | 492 K | from 0.6 GB |
| 527 | sat-3l-sm | 210 M | 514 | ✓ mit | 491 K | from 1.5 GB |
| 528 | Ornith-1.5-35B-A3B-FP8 | 36.0 B | — | ✓ mit | 489 K | from 49.2 GB |
| 529 | xlm-emo-t | — | 512 | unknown | 488 K | — |
| 530 | cryptobert | 120 M | 512 | ✓ mit | 483 K | from 1.1 GB |
| 531 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 483 K | from 0.6 GB |
| 532 | gemma-4-12B-coder-fable5-composer2.5-v1-GGUF | — | — | ✓ apache-2.0 | 483 K | from 5.8 GB |
| 533 | SmolLM2-360M | 360 M | 8 K | ✓ apache-2.0 | 481 K | from 1.4 GB |
| 534 | snowflake-arctic-embed-l | 334 M | 512 | ✓ apache-2.0 | 480 K | from 2.0 GB |
| 535 | DeepSeek-R1-Distill-Qwen-32B | 32.8 B | 131 K | ✓ mit | 479 K | from 77.5 GB |
| 536 | Parable-Qwen3-4B-Claude-Fable-5-GGUF | — | — | ✓ apache-2.0 | 479 K | from 3.2 GB |
| 537 | Qwen3-Coder-Next-NVFP4-GB10 | — | 262 K | ✓ apache-2.0 | 477 K | from 50.9 GB |
| 538 | Qwen2.5-72B-Instruct-AWQ | 73.0 B | 33 K | other | 475 K | from 57.2 GB |
| 539 | Qwen3-4B-GGUF | — | 41 K | ✓ apache-2.0 | 474 K | from 2.3 GB |
| 540 | sentence-bert-base-ja-mean-tokens-v2 | 110 M | 512 | cc-by-sa-4.0 | 474 K | from 1.0 GB |
| 541 | wav2vec2-large-xlsr-japanese-hiragana | 320 M | — | ✓ apache-2.0 | 472 K | from 1.9 GB |
| 542 | Apertus-8B-Instruct-2509 | 8.1 B | 66 K | ✓ apache-2.0 | 472 K | from 19.4 GB |
| 543 | nomic-embed-code | 7.1 B | 33 K | ✓ apache-2.0 | 471 K | from 32.7 GB |
| 544 | faster-whisper-tiny.en | — | — | ✓ mit | 469 K | — |
| 545 | wav2vec2-large-xls-r-300m-sinhala-low-LR-part1 | 320 M | — | unknown | 469 K | from 1.9 GB |
| 546 | wav2vec2-large-xlsr-53-basque | 320 M | — | ✓ apache-2.0 | 468 K | from 1.9 GB |
| 547 | KR-SBERT-V40K-klueNLI-augSTS | — | 512 | unknown | 467 K | — |
| 548 | Llama-3.1-405B-FP8 | 405.9 B | — | ⚠ llama3.1 | 465 K | from 597.3 GB |
| 549 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 465 K | from 47.2 GB |
| 550 | opus-mt-ru-en | — | 512 | ✓ cc-by-4.0 | 465 K | — |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.