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 |
|---|---|---|---|---|---|---|
| 501 | jina-embeddings-v5-text-nano | 210 M | 8 K | ✗ cc-by-nc-4.0 | 515 K | from 1.1 GB |
| 502 | langcache-embed-v1 | 149 M | 8 K | unknown | 514 K | from 1.2 GB |
| 503 | Pruna-Qage-2.1 | 7.1 B | — | other | 514 K | from 2.3 GB |
| 504 | Pruna-Qwen-Image-2.1 | 7.1 B | — | other | 513 K | from 2.3 GB |
| 505 | wav2vec2-large-960h-lv60-self | — | — | ✓ apache-2.0 | 512 K | — |
| 506 | llama-3.3-70b-instruct-awq | 70.6 B | 131 K | ⚠ llama3.3 | 511 K | from 54.8 GB |
| 507 | Qwen3.8-2B-Distill-GGUF | — | — | ✓ apache-2.0 | 510 K | from 1.9 GB |
| 508 | Pruna-Q-Image-2.1 | 7.1 B | — | other | 510 K | from 2.3 GB |
| 509 | deepset-mxbai-embed-de-large-v1 | 487 M | 512 | ✓ apache-2.0 | 504 K | from 1.6 GB |
| 510 | POCKET-35B-GGUF | 35.0 B | — | ✓ apache-2.0 | 504 K | from 14.8 GB |
| 511 | Drama-3-GGUF | — | — | other | 496 K | from 19.3 GB |
| 512 | snowflake-arctic-embed-s | 30 M | 512 | ✓ apache-2.0 | 496 K | from 0.7 GB |
| 513 | FLUX.1-dev | 11.9 B | — | other | 496 K | from 66.0 GB |
| 514 | hubert-base-ls960 | — | — | ✓ apache-2.0 | 496 K | — |
| 515 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 494 K | from 1.3 GB |
| 516 | Qwen3.6-35B-A3B-abliterated-v4 | 34.7 B | 262 K | ✓ apache-2.0 | 494 K | from 82.0 GB |
| 517 | DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-IQ2_XXS-GGUF | 763.2 B | — | ✓ mit | 490 K | from 116.1 GB |
| 518 | Sage-A1.5-Q8_0-GGUF | — | — | ✓ apache-2.0 | 490 K | from 1.5 GB |
| 519 | wav2vec2-xlsr-nepali | — | — | ✓ apache-2.0 | 488 K | — |
| 520 | xlm-emo-t | — | 512 | unknown | 488 K | — |
| 521 | Qwen2.5-32B-Instruct-GPTQ-Int4 | 32.8 B | 33 K | ✓ apache-2.0 | 487 K | from 26.7 GB |
| 522 | Qwen3-Coder-30B-A3B-Instruct-GGUF | — | — | ✓ apache-2.0 | 486 K | from 12.9 GB |
| 523 | Voxtral-Mini-4B-Realtime-2602-gguf | 4.0 B | — | ✓ apache-2.0 | 485 K | from 4.2 GB |
| 524 | POCKET-Darwin-180B-GGUF | 180.0 B | — | other | 484 K | from 82.3 GB |
| 525 | stable-diffusion-v1-4 | 860 M | — | ⚠ creativeml-openrail-m | 483 K | from 13.5 GB |
| 526 | Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 | 7.6 B | 33 K | ✓ apache-2.0 | 482 K | from 7.8 GB |
| 527 | Qwen3.8-27B-DFlash2-GGUF | — | — | ✓ apache-2.0 | 481 K | from 1.8 GB |
| 528 | NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF | 4.0 B | — | other | 481 K | from 5.0 GB |
| 529 | Ornith-1.5-397B-NVFP4 | 397.0 B | — | ✓ mit | 478 K | from 411.4 GB |
| 530 | Ornith-1.5-35B-A3B-FP8 | 36.0 B | — | ✓ mit | 478 K | from 49.2 GB |
| 531 | Llama-3.2-1B | 1.2 B | — | ⚠ llama3.2 | 477 K | from 3.4 GB |
| 532 | embeddinggemma-2 | 744 M | — | ✓ apache-2.0 | 475 K | from 2.2 GB |
| 533 | Llama-3.1-8B | 8.0 B | — | ⚠ llama3.1 | 475 K | from 19.4 GB |
| 534 | sentence-bert-base-ja-mean-tokens-v2 | 110 M | 512 | cc-by-sa-4.0 | 474 K | from 1.0 GB |
| 535 | llama-3-8b-Instruct-bnb-4bit | 8.2 B | 8 K | ⚠ llama3 | 472 K | from 8.0 GB |
| 536 | wav2vec2-large-xlsr-japanese-hiragana | 320 M | — | ✓ apache-2.0 | 472 K | from 1.9 GB |
| 537 | nli-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 472 K | from 1.0 GB |
| 538 | bge-small-en-v1.5 | 33 M | 512 | ✓ mit | 470 K | from 0.7 GB |
| 539 | Qwen2.5-7B | 7.6 B | 131 K | ✓ apache-2.0 | 469 K | from 18.4 GB |
| 540 | JiRackDeltaNet_27b | 27.3 B | 262 K | ✓ mit | 468 K | from 16.5 GB |
| 541 | Qwen3.8-Flash-Next-GGUF | 180.0 B | — | other | 467 K | from 28.5 GB |
| 542 | KR-SBERT-V40K-klueNLI-augSTS | — | 512 | unknown | 467 K | — |
| 543 | wav2vec2-large-xlsr-kazakh | 320 M | — | ✓ apache-2.0 | 466 K | from 1.9 GB |
| 544 | Llama-3.1-405B-FP8 | 405.9 B | — | ⚠ llama3.1 | 465 K | from 597.3 GB |
| 545 | pplx-embed-v1-0.6b | 600 M | 33 K | ✓ mit | 461 K | from 3.2 GB |
| 546 | rubert-tiny2 | 30 M | 2 K | ✓ mit | 460 K | from 0.6 GB |
| 547 | nsfw_image_detector | 90 M | — | ✓ mit | 460 K | from 0.7 GB |
| 548 | sat-3l-sm | 210 M | 514 | ✓ mit | 460 K | from 1.5 GB |
| 549 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 459 K | from 1.0 GB |
| 550 | gpt-neo-125m | 150 M | 2 K | ✓ mit | 458 K | from 1.1 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.