1,213 models · 1,213 open weights · 210 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 | On 2 × 24 GB |
|---|---|---|---|---|---|---|
| 451 | llama2-embedding-1b-8k | 947 M | 33 K | unknown | 416 K | 4.8 GB |
| 452 | saiga_llama3_8b | 8.0 B | 8 K | other | 415 K | 19.4 GB |
| 453 | pythia-6.9b | 7.0 B | 2 K | ✓ apache-2.0 | 414 K | 16.8 GB |
| 454 | EXAONE-3.5-7.8B-Instruct | 7.8 B | 33 K | other | 411 K | 36.1 GB |
| 455 | RMBG-2.0 | 221 M | — | other | 408 K | 1.5 GB |
| 456 | Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit | 30.0 B | 262 K | ✓ apache-2.0 | 406 K | 24.9 GB |
| 457 | Mistral-7B-v0.1 | 7.2 B | 33 K | ✓ apache-2.0 | 405 K | 17.5 GB |
| 458 | locate-anything.cpp-gguf | 3.8 B | — | other | 405 K | 6.3 GB |
| 459 | vit_base_patch16_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 402 K | 0.9 GB |
| 460 | Qwen2.5-Coder-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 402 K | 4.1 GB |
| 461 | BioLORD-2023 | 110 M | 512 | other | 399 K | 1.0 GB |
| 462 | LLM2Vec-Meta-Llama-3-8B-Instruct-mntp | 8.0 B | 8 K | ✓ mit | 396 K | 1.9 GB |
| 463 | mistral-7b-v0.3-bnb-4bit | 7.5 B | 33 K | ✓ apache-2.0 | 392 K | 6.2 GB |
| 464 | Qwen2.5-Coder-1.5B | 1.5 B | 33 K | ✓ apache-2.0 | 387 K | 4.1 GB |
| 465 | SmolLM3-3B | 3.1 B | 66 K | ✓ apache-2.0 | 386 K | 7.7 GB |
| 466 | Meta-Llama-3-8B-Instruct | 8.0 B | — | ⚠ llama3 | 386 K | 19.4 GB |
| 467 | humanizer | 12.0 B | — | ✓ apache-2.0 | 380 K | 6.6 GB |
| 468 | Qwen-Image-2.1-Turbo-GGUF | — | — | other | 379 K | 3.1 GB |
| 469 | bloom-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 378 K | 1.8 GB |
| 470 | Qwen2.5-Coder-7B | 7.6 B | 33 K | ✓ apache-2.0 | 377 K | 18.4 GB |
| 471 | Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF | — | — | ✓ mit | 377 K | 12.5 GB |
| 472 | Qwen2.5-Coder-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 376 K | 3.8 GB |
| 473 | audiobox-aesthetics | 100 M | — | ✓ cc-by-4.0 | 375 K | 1.0 GB |
| 474 | DeepSeek-R1-0528-Qwen3-8B | 8.2 B | 131 K | ✓ mit | 371 K | 19.7 GB |
| 475 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 369 K | 2.1 GB |
| 476 | Phi-3.5-mini-instruct | 3.8 B | 131 K | ✓ mit | 367 K | 9.5 GB |
| 477 | spark-s1-4b-v6-GGUF | 4.0 B | — | ✓ apache-2.0 | 367 K | 4.9 GB |
| 478 | Qwen3-4B-Thinking-2507 | 4.0 B | 262 K | ✓ apache-2.0 | 364 K | 10.0 GB |
| 479 | fullstop-punctuation-multilang-large | 560 M | 512 | ✓ mit | 363 K | 3.0 GB |
| 480 | gpt-oss-20b-GGUF | 20.0 B | 131 K | ✓ apache-2.0 | 356 K | 4.5 GB |
| 481 | roberta-base-openai-detector | 125 M | 512 | ✓ mit | 353 K | 1.1 GB |
| 482 | convnext_base.fb_in22k_ft_in1k | 90 M | — | ✓ apache-2.0 | 350 K | 0.9 GB |
| 483 | wide_resnet101_2.tv_in1k | 127 M | — | ✓ bsd-3-clause | 350 K | 1.1 GB |
| 484 | Meta-Llama-3.1-8B-Instruct-GGUF | — | — | ⚠ llama3.1 | 344 K | 3.7 GB |
| 485 | Hermes-3-Llama-3.1-8B | 8.0 B | 131 K | ⚠ llama3 | 339 K | 19.4 GB |
| 486 | Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 338 K | 3.7 GB |
| 487 | mask2former-swin-large-ade-semantic | 220 M | — | other | 336 K | 1.5 GB |
| 488 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 335 K | 8.5 GB |
| 489 | resnet-18 | 12 M | — | ✓ apache-2.0 | 333 K | 0.6 GB |
| 490 | Phi-4-mini-instruct | 3.8 B | 131 K | ✓ mit | 332 K | 9.5 GB |
| 491 | Ornith-1.5-9B-OBLITERATED | 9.7 B | — | ✓ mit | 332 K | 6.3 GB |
| 492 | Z-Image-Turbo | 6.2 B | — | ✓ apache-2.0 | 329 K | 37.5 GB |
| 493 | convnextv2_large.fcmae_ft_in22k_in1k_384 | 200 M | — | ✗ cc-by-nc-4.0 | 327 K | 1.4 GB |
| 494 | Jan-v3.5-4B-gguf | — | — | ✓ apache-2.0 | 327 K | 2.8 GB |
| 495 | Ornith-1.5-9B-MLX-8bit | 9.0 B | — | unknown | 326 K | 12.3 GB |
| 496 | Ornith-1.5-9B-MLX | 9.0 B | — | unknown | 326 K | 21.5 GB |
| 497 | Flux-1-Schnell | 11.9 B | — | ✓ apache-2.0 | 325 K | 47.4 GB |
| 498 | Underdog-Saluki-27B-1.0-MTP-Abliterated-GGUF | 27.0 B | — | ✓ apache-2.0 | 325 K | 13.7 GB |
| 499 | inclusively-classification | 110 M | 512 | ✗ cc-by-nc-sa-4.0 | 323 K | 1.0 GB |
| 500 | DeepSeek-R1-Distill-Qwen-7B | 7.6 B | 131 K | ✓ mit | 322 K | 18.4 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.