1,086 models · 1,086 open weights · 200 API-only · refreshed nightly
Open-weights models
Models whose weights are published on Hugging Face — download them and run them on your own hardware. Many are also served by hosted providers; those carry an "Also via API" badge with live prices.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 501 | nllb-200-distilled-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 485 K | from 3.6 GB |
| 502 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 482 K | from 12.1 GB |
| 503 | sanoTTS | — | — | gpl-3.0 | 482 K | from 0.5 GB |
| 504 | pythia-14m | 10 M | 2 K | ✓ apache-2.0 | 481 K | from 0.5 GB |
| 505 | german-sentiment-bert | 109 M | 512 | ✓ mit | 477 K | from 1.0 GB |
| 506 | sat-3l-sm | 210 M | 514 | ✓ mit | 477 K | from 1.5 GB |
| 507 | multilingual-e5-small | 120 M | 512 | unknown | 476 K | from 0.8 GB |
| 508 | conv-bert-base | — | 512 | unknown | 476 K | — |
| 509 | sentence-bert-base-ja-mean-tokens-v2 | 110 M | 512 | cc-by-sa-4.0 | 474 K | from 1.0 GB |
| 510 | wav2vec2-large-xlsr-japanese-hiragana | 320 M | — | ✓ apache-2.0 | 472 K | from 1.9 GB |
| 511 | mask2former-swin-large-ade-semantic | 220 M | — | other | 471 K | from 1.5 GB |
| 512 | faster-whisper-tiny.en | — | — | ✓ mit | 469 K | — |
| 513 | Qwen3.8-2B-Distill-GGUF | — | — | ✓ apache-2.0 | 468 K | from 1.9 GB |
| 514 | wav2vec2-large-xlsr-53-basque | 320 M | — | ✓ apache-2.0 | 468 K | from 1.9 GB |
| 515 | JiRackDeltaNet_27b | 27.3 B | 262 K | ✓ mit | 468 K | from 16.5 GB |
| 516 | GigaAM-v3 | — | — | ✓ mit | 467 K | — |
| 517 | gpt-neo-125m | 150 M | 2 K | ✓ mit | 467 K | from 1.1 GB |
| 518 | gte-base-en-v1.5 | 137 M | 8 K | ✓ apache-2.0 | 467 K | from 1.1 GB |
| 519 | KR-SBERT-V40K-klueNLI-augSTS | — | 512 | unknown | 467 K | — |
| 520 | xlm-emo-t | — | 512 | unknown | 465 K | — |
| 521 | Laguna-S-2.1 | 117.6 B | 1.0 M | openmdw-1.1 | 464 K | from 276.8 GB |
| 522 | Hermes-3-Llama-3.1-8B | 8.0 B | 131 K | ⚠ llama3 | 464 K | from 19.4 GB |
| 523 | Qwen3-VL-30B-A3B-Instruct-AWQ | 31.1 B | — | ✓ apache-2.0 | 462 K | from 24.8 GB |
| 524 | Llama-3.1-405B-FP8 | 405.9 B | — | ⚠ llama3.1 | 462 K | from 597.3 GB |
| 525 | pplx-embed-v1-0.6b | 600 M | 33 K | ✓ mit | 461 K | from 3.2 GB |
| 526 | Ornith-1.5-9B | 9.7 B | — | ✓ mit | 461 K | from 23.2 GB |
| 527 | Qwen2.5-7B | 7.6 B | 131 K | ✓ apache-2.0 | 460 K | from 18.4 GB |
| 528 | Qwen-Image-2.1-FP8 | 7.1 B | — | other | 460 K | from 46.7 GB |
| 529 | Qwen3.6-35B-A3B-abliterated-v4 | 34.7 B | 262 K | ✓ apache-2.0 | 460 K | from 82.0 GB |
| 530 | mimi | 100 M | 8 K | ✓ cc-by-4.0 | 458 K | from 0.9 GB |
| 531 | Qwen3-Coder-30B-A3B-Instruct-GGUF | — | — | ✓ apache-2.0 | 456 K | from 12.9 GB |
| 532 | MedCPT-Query-Encoder | 110 M | 512 | other | 454 K | from 1.0 GB |
| 533 | GLM-4.7-Flash-AWQ | 31.2 B | 203 K | ✓ mit | 454 K | from 26.9 GB |
| 534 | Apodex-1.1-mini-GGUF | — | — | ✓ apache-2.0 | 452 K | from 10.2 GB |
| 535 | Qwen2.5-72B-Instruct-AWQ | 73.0 B | 33 K | other | 447 K | from 57.2 GB |
| 536 | larger_clap_music_and_speech | — | — | ✓ apache-2.0 | 447 K | — |
| 537 | audiobox-aesthetics | 100 M | — | ✓ cc-by-4.0 | 445 K | from 1.0 GB |
| 538 | indobert-base-p1 | — | 512 | ✓ mit | 444 K | — |
| 539 | segformer_b2_clothes | 30 M | — | other | 442 K | from 0.6 GB |
| 540 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 441 K | from 7.9 GB |
| 541 | bge-m3-spa-law-qa | 570 M | — | ✓ apache-2.0 | 440 K | from 3.1 GB |
| 542 | canine-c | 130 M | 16 K | ✓ apache-2.0 | 439 K | from 1.1 GB |
| 543 | Ornith-1.5-397B-NVFP4 | 397.0 B | — | ✓ mit | 439 K | from 411.4 GB |
| 544 | MiniMax-M2.7 | 228.7 B | 205 K | other | 438 K | from 288.0 GB |
| 545 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 436 K | from 16.3 GB |
| 546 | Qwen3-TTS-12Hz-1.7B-VoiceDesign | 1.9 B | — | ✓ apache-2.0 | 435 K | from 5.8 GB |
| 547 | vit_base_patch16_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 435 K | from 0.9 GB |
| 548 | phi-2 | 2.8 B | 2 K | ✓ mit | 434 K | from 7.0 GB |
| 549 | lambda | — | — | unknown | 434 K | from 0.5 GB |
| 550 | Qwen2.5-Coder-3B-Instruct | 3.1 B | 33 K | other | 434 K | from 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.