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 |
|---|---|---|---|---|---|---|
| 401 | bge-small-en-v1.5 | 30 M | 512 | unknown | 670 K | from 0.6 GB |
| 402 | Laguna-XS.2 | 33.4 B | 262 K | ✓ apache-2.0 | 669 K | from 79.1 GB |
| 403 | VibeVoice-ASR | 8.7 B | — | ✓ mit | 669 K | from 20.9 GB |
| 404 | Laguna-M.1 | 225.8 B | 262 K | ✓ apache-2.0 | 668 K | from 531.1 GB |
| 405 | Qwen3.5-397B-A17B | 403.4 B | — | ✓ apache-2.0 | 667 K | from 948.5 GB |
| 406 | efficientnet_b0.ra_in1k | 10 M | — | ✓ apache-2.0 | 662 K | from 0.5 GB |
| 407 | Qwen3-4B-Thinking-2507 | 4.0 B | 262 K | ✓ apache-2.0 | 662 K | from 10.0 GB |
| 408 | wav2vec2-large-xlsr-malayalam | — | — | ✓ apache-2.0 | 660 K | — |
| 409 | DeepSeek-V3-0324 | 684.5 B | 164 K | ✓ mit | 660 K | from 860.6 GB |
| 410 | whisper-medium-gguf | 760 M | — | ✓ apache-2.0 | 655 K | from 1.2 GB |
| 411 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 652 K | from 1.3 GB |
| 412 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 650 K | from 4.1 GB |
| 413 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 180 M | 512 | ✓ apache-2.0 | 641 K | from 1.3 GB |
| 414 | Qwen3-TTS-12Hz-0.6B-Base | 910 M | — | ✓ apache-2.0 | 638 K | from 3.4 GB |
| 415 | Qwen3-0.6B-Base | 600 M | 33 K | ✓ apache-2.0 | 637 K | from 1.9 GB |
| 416 | FLUX.1-dev | 11.9 B | — | other | 631 K | from 66.0 GB |
| 417 | nli-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 629 K | from 1.0 GB |
| 418 | LaBSE | 470 M | 512 | ✓ apache-2.0 | 627 K | from 2.6 GB |
| 419 | LFM2.5-2.6B-GGUF | 2.6 B | 131 K | other | 627 K | from 2.6 GB |
| 420 | wav2vec2-large-xlsr-53-gender-recognition-librispeech | 320 M | — | ✓ apache-2.0 | 626 K | from 1.9 GB |
| 421 | sdxl-turbo | 2.6 B | — | other | 623 K | from 46.7 GB |
| 422 | multi-qa-MiniLM-L6-cos-v1 | 20 M | 512 | unknown | 615 K | from 0.6 GB |
| 423 | JEV-9B | 9.0 B | 262 K | ✓ apache-2.0 | 611 K | from 22.1 GB |
| 424 | granite-4.1-3b | 3.4 B | 131 K | ✓ apache-2.0 | 609 K | from 8.5 GB |
| 425 | Llama-3.1-8B | 8.0 B | — | ⚠ llama3.1 | 607 K | from 19.4 GB |
| 426 | wav2vec2-xlsr-53-espeak-cv-ft | — | — | ✓ apache-2.0 | 601 K | — |
| 427 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 599 K | from 0.7 GB |
| 428 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 597 K | from 3.2 GB |
| 429 | Qwen3-8B-GGUF | — | — | ✓ apache-2.0 | 597 K | from 6.0 GB |
| 430 | MiniCPM-SALA-AWQ-8bit | 3.1 B | 524 K | ✓ apache-2.0 | 595 K | from 12.7 GB |
| 431 | opus-mt-fr-en | 80 M | 512 | ✓ apache-2.0 | 594 K | from 0.8 GB |
| 432 | punctuate-all | — | 512 | ✓ mit | 592 K | — |
| 433 | wikineural-multilingual-ner | 180 M | 512 | ✗ cc-by-nc-sa-4.0 | 592 K | from 1.3 GB |
| 434 | wav2vec2-large-xlsr-lithuanian | — | — | ✓ apache-2.0 | 591 K | — |
| 435 | vietnamese-bi-encoder | 130 M | 256 | ✓ apache-2.0 | 587 K | from 1.1 GB |
| 436 | paraphrase-albert-small-v2 | 10 M | 512 | ✓ apache-2.0 | 583 K | from 0.6 GB |
| 437 | parakeet-tdt-0.6b-v3 | 630 M | — | ✓ cc-by-4.0 | 583 K | from 1.4 GB |
| 438 | Qwen3-4B-Base | 4.0 B | 33 K | ✓ apache-2.0 | 578 K | from 10.0 GB |
| 439 | clipseg-rd64-refined | 150 M | — | ✓ apache-2.0 | 577 K | from 1.2 GB |
| 440 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 577 K | from 1.1 GB |
| 441 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 575 K | from 0.6 GB |
| 442 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 575 K | from 2.1 GB |
| 443 | paraphrase-MiniLM-L3-v2 | 20 M | 512 | ✓ apache-2.0 | 574 K | from 0.6 GB |
| 444 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 573 K | from 4.5 GB |
| 445 | Qwen3-TTS-GGUF | — | — | ✓ apache-2.0 | 573 K | from 1.8 GB |
| 446 | e5-mistral-7b-instruct-bnb-4bit | 7.3 B | 33 K | ✓ mit | 572 K | from 5.8 GB |
| 447 | KURE-v1 | 568 M | 8 K | ✓ mit | 568 K | from 3.1 GB |
| 448 | repvgg_a0.rvgg_in1k | 10 M | — | ✓ mit | 566 K | from 0.5 GB |
| 449 | gte-large | 340 M | 512 | ✓ mit | 564 K | from 1.3 GB |
| 450 | Laguna-XS-2.1 | 33.4 B | 262 K | openmdw-1.1 | 562 K | from 79.1 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.