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 Mac M3 · 24 GB |
|---|---|---|---|---|---|---|
| 351 | sqlcoder-7b-2 | 6.7 B | 16 K | cc-by-sa-4.0 | 441 K | 6.8 GB |
| 352 | nllb-200-distilled-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 440 K | 3.6 GB |
| 353 | Qwen2.5-0.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 440 K | 1.0 GB |
| 354 | Apodex-1.1-mini-GGUF | — | — | ✓ apache-2.0 | 439 K | 10.2 GB |
| 355 | S-PubMedBert-MedQuAD | 110 M | 512 | ✓ mit | 439 K | 1.0 GB |
| 356 | Qwen3.8-27B-DFlash2 | 1.9 B | 262 K | ✓ apache-2.0 | 438 K | 5.0 GB |
| 357 | clipseg-rd64-refined | 150 M | — | ✓ apache-2.0 | 437 K | 1.2 GB |
| 358 | Qwen-Image-2.1-Lightning | 7.1 B | — | unknown | 436 K | 1.6 GB |
| 359 | segformer_b2_clothes | 30 M | — | other | 434 K | 0.6 GB |
| 360 | vram-16 | — | — | unknown | 432 K | 0.5 GB |
| 361 | LFM2.5-24B-A2B-GGUF | 24.0 B | 131 K | other | 430 K | 12.3 GB |
| 362 | lambda | — | — | unknown | 428 K | 0.5 GB |
| 363 | efficient-splade-VI-BT-large-doc | — | 512 | ✗ cc-by-nc-sa-4.0 | 427 K | 0.5 GB |
| 364 | Qwen3-14B-GGUF | — | — | ✓ apache-2.0 | 424 K | 10.4 GB |
| 365 | maple-preview-GGUF | — | — | ✓ mit | 424 K | 6.5 GB |
| 366 | Ling-3.0-tiny-MLX-4bit | 7.9 B | 131 K | ✓ mit | 420 K | 6.6 GB |
| 367 | Qwen-Image-2512-GGUF | 20.4 B | — | ✓ apache-2.0 | 420 K | 12.1 GB |
| 368 | german-sentiment-bert | 109 M | 512 | ✓ mit | 419 K | 1.0 GB |
| 369 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 418 K | 5.3 GB |
| 370 | llama2-embedding-1b-8k | 947 M | 33 K | unknown | 416 K | 4.8 GB |
| 371 | pythia-6.9b | 7.0 B | 2 K | ✓ apache-2.0 | 414 K | 16.8 GB |
| 372 | RMBG-2.0 | 221 M | — | other | 408 K | 1.5 GB |
| 373 | Mistral-7B-v0.1 | 7.2 B | 33 K | ✓ apache-2.0 | 405 K | 17.5 GB |
| 374 | locate-anything.cpp-gguf | 3.8 B | — | other | 405 K | 6.3 GB |
| 375 | vit_base_patch16_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 402 K | 0.9 GB |
| 376 | Qwen2.5-Coder-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 402 K | 4.1 GB |
| 377 | BioLORD-2023 | 110 M | 512 | other | 399 K | 1.0 GB |
| 378 | LLM2Vec-Meta-Llama-3-8B-Instruct-mntp | 8.0 B | 8 K | ✓ mit | 396 K | 1.9 GB |
| 379 | mistral-7b-v0.3-bnb-4bit | 7.5 B | 33 K | ✓ apache-2.0 | 392 K | 6.2 GB |
| 380 | Qwen2.5-Coder-1.5B | 1.5 B | 33 K | ✓ apache-2.0 | 387 K | 4.1 GB |
| 381 | SmolLM3-3B | 3.1 B | 66 K | ✓ apache-2.0 | 386 K | 7.7 GB |
| 382 | humanizer | 12.0 B | — | ✓ apache-2.0 | 380 K | 6.6 GB |
| 383 | Qwen-Image-2.1-Turbo-GGUF | — | — | other | 379 K | 3.1 GB |
| 384 | bloom-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 378 K | 1.8 GB |
| 385 | Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF | — | — | ✓ mit | 377 K | 12.5 GB |
| 386 | Qwen2.5-Coder-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 376 K | 3.8 GB |
| 387 | audiobox-aesthetics | 100 M | — | ✓ cc-by-4.0 | 375 K | 1.0 GB |
| 388 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 369 K | 2.1 GB |
| 389 | Phi-3.5-mini-instruct | 3.8 B | 131 K | ✓ mit | 367 K | 9.5 GB |
| 390 | spark-s1-4b-v6-GGUF | 4.0 B | — | ✓ apache-2.0 | 367 K | 4.9 GB |
| 391 | Qwen3-4B-Thinking-2507 | 4.0 B | 262 K | ✓ apache-2.0 | 364 K | 10.0 GB |
| 392 | fullstop-punctuation-multilang-large | 560 M | 512 | ✓ mit | 363 K | 3.0 GB |
| 393 | gpt-oss-20b-GGUF | 20.0 B | 131 K | ✓ apache-2.0 | 356 K | 4.5 GB |
| 394 | roberta-base-openai-detector | 125 M | 512 | ✓ mit | 353 K | 1.1 GB |
| 395 | convnext_base.fb_in22k_ft_in1k | 90 M | — | ✓ apache-2.0 | 350 K | 0.9 GB |
| 396 | wide_resnet101_2.tv_in1k | 127 M | — | ✓ bsd-3-clause | 350 K | 1.1 GB |
| 397 | Meta-Llama-3.1-8B-Instruct-GGUF | — | — | ⚠ llama3.1 | 344 K | 3.7 GB |
| 398 | Spark-X2.5-4B-GGUF | 4.0 B | — | ✓ apache-2.0 | 338 K | 3.7 GB |
| 399 | mask2former-swin-large-ade-semantic | 220 M | — | other | 336 K | 1.5 GB |
| 400 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 335 K | 8.5 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.