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 |
|---|---|---|---|---|---|---|
| 601 | Phi-3.5-mini-instruct | 3.8 B | 131 K | ✓ mit | 376 K | from 9.5 GB |
| 602 | snowflake-arctic-embed-m | 110 M | 512 | ✓ apache-2.0 | 376 K | from 1.0 GB |
| 603 | plamo-embedding-1b | 1.1 B | 4 K | ✓ apache-2.0 | 376 K | from 3.0 GB |
| 604 | RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored-IQ3_S-Strata | — | — | ✓ apache-2.0 | 374 K | from 98.3 GB |
| 605 | Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 373 K | from 4.0 GB |
| 606 | gemma-2-9b-it-AWQ-INT4 | 9.2 B | 8 K | ⚠ gemma | 371 K | from 8.7 GB |
| 607 | cryptobert | 120 M | 512 | ✓ mit | 370 K | from 1.1 GB |
| 608 | RMBG-2.0 | 221 M | — | other | 369 K | from 1.5 GB |
| 609 | Qwen3.8-27B-DFlash2 | 1.9 B | 262 K | ✓ apache-2.0 | 369 K | from 5.0 GB |
| 610 | GLM-5.3-GGUF | — | — | other | 368 K | from 52.0 GB |
| 611 | mistral-7b-v0.3-bnb-4bit | 7.5 B | 33 K | ✓ apache-2.0 | 367 K | from 6.2 GB |
| 612 | snowflake-arctic-embed-xs | 20 M | 512 | unknown | 365 K | from 0.6 GB |
| 613 | phi-4 | 14.7 B | 16 K | ✓ mit | 365 K | from 34.9 GB |
| 614 | mask2former-swin-large-cityscapes-semantic | 220 M | — | other | 363 K | from 1.5 GB |
| 615 | Qwen2.5-Coder-7B | 7.6 B | 33 K | ✓ apache-2.0 | 363 K | from 18.4 GB |
| 616 | DeepSeek-V4-Pro | 1,598.8 B | 1.0 M | ✓ mit | 361 K | from 1,191.5 GB |
| 617 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 359 K | from 2.1 GB |
| 618 | Meta-Llama-3-8B-Instruct | 8.0 B | — | ⚠ llama3 | 355 K | from 19.4 GB |
| 619 | Juggernaut-XL-v9 | — | — | ⚠ creativeml-openrail-m | 355 K | from 15.9 GB |
| 620 | DeepSeek-R1-0528-Qwen3-8B | 8.2 B | 131 K | ✓ mit | 354 K | from 19.7 GB |
| 621 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 354 K | from 2.0 GB |
| 622 | AI-image-detector | — | — | ✓ cc-by-4.0 | 353 K | — |
| 623 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 351 K | from 1.3 GB |
| 624 | DeepSeek-R1-Distill-Qwen-32B | 32.8 B | 131 K | ✓ mit | 350 K | from 77.5 GB |
| 625 | mms-lid-1024 | 967 M | — | ✗ cc-by-nc-4.0 | 347 K | from 4.9 GB |
| 626 | koelectra-polite-v1 | — | 512 | unknown | 347 K | — |
| 627 | inclusively-classification | 110 M | 512 | ✗ cc-by-nc-sa-4.0 | 346 K | from 1.0 GB |
| 628 | Phi-4-mini-instruct | 3.8 B | 131 K | ✓ mit | 345 K | from 9.5 GB |
| 629 | Qwen3.8-27B-DFlash2-GGUF | — | — | ✓ apache-2.0 | 343 K | from 1.8 GB |
| 630 | Kimi-K2-Instruct | 1,026.5 B | 131 K | other | 343 K | from 1,286.6 GB |
| 631 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 343 K | from 5.3 GB |
| 632 | Realistic_Vision_V5.1_noVAE | 860 M | — | ⚠ creativeml-openrail-m | 343 K | from 19.4 GB |
| 633 | bloom-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 342 K | from 1.8 GB |
| 634 | vit_small_patch16_224.augreg_in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 342 K | from 0.6 GB |
| 635 | Ternary-Bonsai-8B-gguf | — | — | ✓ apache-2.0 | 342 K | from 2.9 GB |
| 636 | Qwen3-Coder-480B-A35B-Instruct-FP8 | 480.2 B | 262 K | ✓ apache-2.0 | 342 K | from 602.9 GB |
| 637 | Phi-3-mini-4k-instruct | 3.8 B | 4 K | ✓ mit | 341 K | from 9.5 GB |
| 638 | granite-3.3-2b-instruct | 2.5 B | 131 K | ✓ apache-2.0 | 339 K | from 6.5 GB |
| 639 | Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF | — | — | ✓ mit | 339 K | from 12.5 GB |
| 640 | LFM2.5-230M-GGUF | 230 M | — | other | 338 K | from 0.7 GB |
| 641 | Ornith-1.5-397B-FP8 | 403.4 B | — | ✓ mit | 337 K | from 521.2 GB |
| 642 | deberta-large-mnli | — | 512 | ✓ mit | 336 K | — |
| 643 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 335 K | from 16.3 GB |
| 644 | LFM2.5-1.2B-Instruct-GGUF | 1.2 B | 128 K | other | 334 K | from 1.4 GB |
| 645 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 333 K | from 3.0 GB |
| 646 | Ornith-1.5-35B-A3B-MLX | 34.7 B | — | unknown | 331 K | from 82.0 GB |
| 647 | nsfw_image_detector | 90 M | — | ✓ mit | 331 K | from 0.7 GB |
| 648 | bert-small-pii-detection | 30 M | 512 | ✓ apache-2.0 | 329 K | from 0.6 GB |
| 649 | Qwen3.6-27B-AWQ-4bit | 27.7 B | — | ✓ apache-2.0 | 329 K | from 25.2 GB |
| 650 | table-transformer-detection | 30 M | 1 K | ✓ mit | 327 K | from 0.6 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.