1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
All models
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 | Min VRAM |
|---|---|---|---|---|---|---|
| 551 | mimi | 100 M | 8 K | ✓ cc-by-4.0 | 458 K | from 0.9 GB |
| 552 | multilingual-e5-small | 120 M | 512 | unknown | 456 K | from 0.8 GB |
| 553 | JEV-27B | 26.9 B | 262 K | ✓ apache-2.0 | 455 K | from 64.7 GB |
| 554 | MedCPT-Query-Encoder | 110 M | 512 | other | 454 K | from 1.0 GB |
| 555 | Qwen3.6-27B-AWQ-4bit | 27.7 B | — | ✓ apache-2.0 | 454 K | from 25.2 GB |
| 556 | sd-turbo | 870 M | — | unknown | 454 K | from 14.9 GB |
| 557 | open-vakgyata | 60 M | — | ✗ cc-by-nc-4.0 | 453 K | from 0.8 GB |
| 558 | gte-base-en-v1.5 | 137 M | 8 K | ✓ apache-2.0 | 452 K | from 1.1 GB |
| 559 | koelectra-polite-v1 | — | 512 | unknown | 450 K | — |
| 560 | JEV-35B-NVFP4 | 35.0 B | — | ✓ apache-2.0 | 450 K | from 35.1 GB |
| 561 | Qwen3-4B-Base | 4.0 B | 33 K | ✓ apache-2.0 | 447 K | from 10.0 GB |
| 562 | Mellum2.1-12B-A2.5B-Thinking-GGUF | 12.0 B | — | ✓ apache-2.0 | 446 K | from 11.5 GB |
| 563 | MiniCPM5-2B-GGUF | 2.0 B | — | ✓ apache-2.0 | 446 K | from 2.5 GB |
| 564 | NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 | 67.2 B | 262 K | other | 445 K | from 98.9 GB |
| 565 | Qwen2.5-Coder-3B-Instruct | 3.1 B | 33 K | other | 441 K | from 7.8 GB |
| 566 | sqlcoder-7b-2 | 6.7 B | 16 K | cc-by-sa-4.0 | 441 K | from 6.8 GB |
| 567 | nllb-200-distilled-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 440 K | from 3.6 GB |
| 568 | Qwen2.5-0.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 440 K | from 1.0 GB |
| 569 | Apodex-1.1-mini-GGUF | — | — | ✓ apache-2.0 | 439 K | from 10.2 GB |
| 570 | S-PubMedBert-MedQuAD | 110 M | 512 | ✓ mit | 439 K | from 1.0 GB |
| 571 | Qwen3.8-27B-DFlash2 | 1.9 B | 262 K | ✓ apache-2.0 | 438 K | from 5.0 GB |
| 572 | clipseg-rd64-refined | 150 M | — | ✓ apache-2.0 | 437 K | from 1.2 GB |
| 573 | Qwen-Image-2.1-Lightning | 7.1 B | — | unknown | 436 K | from 1.6 GB |
| 574 | segformer_b2_clothes | 30 M | — | other | 434 K | from 0.6 GB |
| 575 | vram-16 | — | — | unknown | 432 K | from 0.5 GB |
| 576 | LFM2.5-24B-A2B-GGUF | 24.0 B | 131 K | other | 430 K | from 12.3 GB |
| 577 | lambda | — | — | unknown | 428 K | from 0.5 GB |
| 578 | Qwen-Image-2.1-Turbo-FP8 | 7.1 B | — | other | 427 K | from 61.1 GB |
| 579 | efficient-splade-VI-BT-large-doc | — | 512 | ✗ cc-by-nc-sa-4.0 | 427 K | from 0.5 GB |
| 580 | Qwen3-Coder-Next | 79.7 B | 262 K | ✓ apache-2.0 | 426 K | from 187.7 GB |
| 581 | Qwen3-14B-GGUF | — | — | ✓ apache-2.0 | 424 K | from 10.4 GB |
| 582 | maple-preview-GGUF | — | — | ✓ mit | 424 K | from 6.5 GB |
| 583 | Meta-Llama-3-8B-Instruct-abliterated-v3 | 8.0 B | 8 K | ⚠ llama3 | 420 K | from 19.4 GB |
| 584 | Ling-3.0-tiny-MLX-4bit | 7.9 B | 131 K | ✓ mit | 420 K | from 6.6 GB |
| 585 | Qwen-Image-2512-GGUF | 20.4 B | — | ✓ apache-2.0 | 420 K | from 12.1 GB |
| 586 | german-sentiment-bert | 109 M | 512 | ✓ mit | 419 K | from 1.0 GB |
| 587 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 418 K | from 5.3 GB |
| 588 | llama2-embedding-1b-8k | 947 M | 33 K | unknown | 416 K | from 4.8 GB |
| 589 | saiga_llama3_8b | 8.0 B | 8 K | other | 415 K | from 19.4 GB |
| 590 | pythia-6.9b | 7.0 B | 2 K | ✓ apache-2.0 | 414 K | from 16.8 GB |
| 591 | Ornith-1.5-122B-FP8 | 125.1 B | — | ✓ mit | 413 K | from 165.5 GB |
| 592 | EXAONE-3.5-7.8B-Instruct | 7.8 B | 33 K | other | 411 K | from 36.1 GB |
| 593 | RMBG-2.0 | 221 M | — | other | 408 K | from 1.5 GB |
| 594 | Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit | 30.0 B | 262 K | ✓ apache-2.0 | 406 K | from 24.9 GB |
| 595 | Mistral-7B-v0.1 | 7.2 B | 33 K | ✓ apache-2.0 | 405 K | from 17.5 GB |
| 596 | locate-anything.cpp-gguf | 3.8 B | — | other | 405 K | from 6.3 GB |
| 597 | vit_base_patch16_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 402 K | from 0.9 GB |
| 598 | Qwen2.5-Coder-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 402 K | from 4.1 GB |
| 599 | BioLORD-2023 | 110 M | 512 | other | 399 K | from 1.0 GB |
| 600 | LLM2Vec-Meta-Llama-3-8B-Instruct-mntp | 8.0 B | 8 K | ✓ mit | 396 K | from 1.9 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.