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 |
|---|---|---|---|---|---|---|
| 551 | nsfw-image-detection-384 | 5.6 M | — | ✓ apache-2.0 | 433 K | from 0.5 GB |
| 552 | wav2vec2-large-mms-1b-azerbaijani-common_voice15.0 | 960 M | — | ✗ cc-by-nc-4.0 | 427 K | from 4.9 GB |
| 553 | opus-mt-zh-en | — | 512 | ✓ cc-by-4.0 | 426 K | — |
| 554 | maple-preview-GGUF | — | — | ✓ mit | 424 K | from 6.5 GB |
| 555 | wav2vec2-large-xls-r-300m-bg-d2 | 300 M | — | ✓ apache-2.0 | 423 K | from 1.2 GB |
| 556 | Voxtral-Mini-4B-Realtime-2602-gguf | 4.0 B | — | ✓ apache-2.0 | 421 K | from 4.2 GB |
| 557 | Apertus-8B-Instruct-2509 | 8.1 B | 66 K | ✓ apache-2.0 | 421 K | from 19.4 GB |
| 558 | Qwen3-30B-A3B-Instruct-2507-AWQ | 30.8 B | 262 K | ✓ apache-2.0 | 419 K | from 23.5 GB |
| 559 | glotlid | — | — | other | 417 K | — |
| 560 | deepseek-coder-7b-instruct-v1.5 | 6.9 B | 4 K | other | 417 K | from 16.7 GB |
| 561 | pythia-6.9b | 7.0 B | 2 K | ✓ apache-2.0 | 414 K | from 16.8 GB |
| 562 | Qwen2.5-Coder-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 409 K | from 4.1 GB |
| 563 | gemma-4-31B-it-qat-NVFP4-Blackwell | 31.0 B | — | ✓ apache-2.0 | 408 K | from 27.6 GB |
| 564 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 404 K | from 1.0 GB |
| 565 | Qwen3-235B-A22B | 235.1 B | 41 K | ✓ apache-2.0 | 404 K | from 553.0 GB |
| 566 | Qwen3.8-27B-MTP-NVFP4 | 27.4 B | — | ✓ apache-2.0 | 398 K | from 27.2 GB |
| 567 | saiga_llama3_8b | 8.0 B | 8 K | other | 396 K | from 19.4 GB |
| 568 | DeepSeek-Coder-V2-Lite-Instruct | 15.7 B | 164 K | other | 394 K | from 37.4 GB |
| 569 | GPT-OSS-20B-NPU2 | 20.0 B | 131 K | ✓ apache-2.0 | 390 K | from 47.5 GB |
| 570 | Ornith-1.0-397B | 396.8 B | — | ✓ mit | 387 K | from 933.0 GB |
| 571 | Ling-3.0-tiny-MLX-4bit | 7.9 B | 131 K | ✓ mit | 386 K | from 6.6 GB |
| 572 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 385 K | from 1.3 GB |
| 573 | JEV-27B | 26.9 B | 262 K | ✓ apache-2.0 | 384 K | from 64.7 GB |
| 574 | roberta-base-openai-detector | 125 M | 512 | ✓ mit | 382 K | from 1.1 GB |
| 575 | swinv2-tiny-patch4-window16-256 | — | — | ✓ apache-2.0 | 382 K | — |
| 576 | Qwen2.5-Coder-1.5B | 1.5 B | 33 K | ✓ apache-2.0 | 381 K | from 4.1 GB |
| 577 | Qwen3.8-27B-NVFP4-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 381 K | from 41.0 GB |
| 578 | Phi-3.5-mini-instruct | 3.8 B | 131 K | ✓ mit | 376 K | from 9.5 GB |
| 579 | RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored-IQ3_S-Strata | — | — | ✓ apache-2.0 | 374 K | from 98.3 GB |
| 580 | Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 373 K | from 4.0 GB |
| 581 | gemma-2-9b-it-AWQ-INT4 | 9.2 B | 8 K | ⚠ gemma | 371 K | from 8.7 GB |
| 582 | cryptobert | 120 M | 512 | ✓ mit | 370 K | from 1.1 GB |
| 583 | RMBG-2.0 | 221 M | — | other | 369 K | from 1.5 GB |
| 584 | Qwen3.8-27B-DFlash2 | 1.9 B | 262 K | ✓ apache-2.0 | 369 K | from 5.0 GB |
| 585 | GLM-5.3-GGUF | — | — | other | 368 K | from 52.0 GB |
| 586 | mistral-7b-v0.3-bnb-4bit | 7.5 B | 33 K | ✓ apache-2.0 | 367 K | from 6.2 GB |
| 587 | phi-4 | 14.7 B | 16 K | ✓ mit | 365 K | from 34.9 GB |
| 588 | mask2former-swin-large-cityscapes-semantic | 220 M | — | other | 363 K | from 1.5 GB |
| 589 | Qwen2.5-Coder-7B | 7.6 B | 33 K | ✓ apache-2.0 | 363 K | from 18.4 GB |
| 590 | DeepSeek-V4-Pro | 1,598.8 B | 1.0 M | ✓ mit | 361 K | from 1,191.5 GB |
| 591 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 359 K | from 2.1 GB |
| 592 | Meta-Llama-3-8B-Instruct | 8.0 B | — | ⚠ llama3 | 355 K | from 19.4 GB |
| 593 | Juggernaut-XL-v9 | — | — | ⚠ creativeml-openrail-m | 355 K | from 15.9 GB |
| 594 | DeepSeek-R1-0528-Qwen3-8B | 8.2 B | 131 K | ✓ mit | 354 K | from 19.7 GB |
| 595 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 354 K | from 2.0 GB |
| 596 | AI-image-detector | — | — | ✓ cc-by-4.0 | 353 K | — |
| 597 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 351 K | from 1.3 GB |
| 598 | DeepSeek-R1-Distill-Qwen-32B | 32.8 B | 131 K | ✓ mit | 350 K | from 77.5 GB |
| 599 | mms-lid-1024 | 967 M | — | ✗ cc-by-nc-4.0 | 347 K | from 4.9 GB |
| 600 | koelectra-polite-v1 | — | 512 | unknown | 347 K | — |
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.