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 |
|---|---|---|---|---|---|---|
| 351 | nomic-embed-text-v1.5-GGUF | 140 M | 2 K | ✓ apache-2.0 | 587 K | 0.6 GB |
| 352 | Sage-A1.5-Q4_K_M-GGUF | — | — | ✓ apache-2.0 | 586 K | 1.5 GB |
| 353 | Juggernaut-XL-v9 | — | — | ⚠ creativeml-openrail-m | 579 K | 15.9 GB |
| 354 | Qwen3.8-4B-Distill-GGUF | — | — | ✓ apache-2.0 | 579 K | 3.6 GB |
| 355 | efficientnet_b0.ra_in1k | 10 M | — | ✓ apache-2.0 | 576 K | 0.5 GB |
| 356 | bert-base-multilingual-uncased-sentiment | 170 M | 512 | ✓ mit | 571 K | 1.3 GB |
| 357 | gte-large | 340 M | 512 | ✓ mit | 570 K | 1.3 GB |
| 358 | plamo-embedding-1b | 1.1 B | 4 K | ✓ apache-2.0 | 567 K | 3.0 GB |
| 359 | nemotron-3.5-asr-streaming-0.6b | 640 M | — | other | 560 K | 1.4 GB |
| 360 | sanoTTS | — | — | gpl-3.0 | 559 K | 0.5 GB |
| 361 | Spark-X2.5-4B-Heretic-jp-gguf | 4.0 B | — | ✓ apache-2.0 | 556 K | 4.0 GB |
| 362 | Qwen-Image-2.1 | 7.1 B | — | other | 553 K | 38.0 GB |
| 363 | Qwen3-8B-Base | 8.2 B | 33 K | ✓ apache-2.0 | 550 K | 19.7 GB |
| 364 | Qwen2.5-1.5B | 1.5 B | 131 K | ✓ apache-2.0 | 541 K | 4.1 GB |
| 365 | Qwen3.8-9B-Distill-GGUF | — | — | ✓ apache-2.0 | 540 K | 6.9 GB |
| 366 | parakeet-tdt-0.6b-v3 | 630 M | — | ✓ cc-by-4.0 | 540 K | 1.4 GB |
| 367 | Llama-3.2-3B-Instruct | 3.2 B | 131 K | ⚠ llama3.2 | 536 K | 8.0 GB |
| 368 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 534 K | 0.6 GB |
| 369 | Qwen3.8-27B-OBLITERATED | 27.8 B | — | ✓ apache-2.0 | 533 K | 5.7 GB |
| 370 | Qwen3-4B-GGUF | — | 41 K | ✓ apache-2.0 | 532 K | 2.3 GB |
| 371 | snowflake-arctic-embed-xs | 20 M | 512 | unknown | 531 K | 0.6 GB |
| 372 | embeddinggemma-2-ONNX | 744 M | — | ✓ apache-2.0 | 531 K | 2.2 GB |
| 373 | msmarco-bert-base-dot-v5 | 110 M | 512 | unknown | 528 K | 1.0 GB |
| 374 | granite-4.1-3b | 3.4 B | 131 K | ✓ apache-2.0 | 524 K | 8.5 GB |
| 375 | Qwen3-ASR-0.6B-hf | 782 M | — | ✓ apache-2.0 | 524 K | 2.3 GB |
| 376 | bert-base-turkish-cased-mean-nli-stsb-tr | 110 M | 512 | ✓ apache-2.0 | 523 K | 1.0 GB |
| 377 | deberta-v3-base-prompt-injection-v2 | 180 M | 512 | ✓ apache-2.0 | 521 K | 1.3 GB |
| 378 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 520 K | 1.3 GB |
| 379 | snowflake-arctic-embed-l | 334 M | 512 | ✓ apache-2.0 | 519 K | 2.0 GB |
| 380 | Ornith-1.5-9B | 9.7 B | — | ✓ mit | 518 K | 23.2 GB |
| 381 | Qwen3-VL-Embedding-2B | 2.1 B | — | ✓ apache-2.0 | 517 K | 5.5 GB |
| 382 | jina-embeddings-v5-text-nano | 210 M | 8 K | ✗ cc-by-nc-4.0 | 515 K | 1.1 GB |
| 383 | langcache-embed-v1 | 149 M | 8 K | unknown | 514 K | 1.2 GB |
| 384 | Pruna-Qage-2.1 | 7.1 B | — | other | 514 K | 2.3 GB |
| 385 | Pruna-Qwen-Image-2.1 | 7.1 B | — | other | 513 K | 2.3 GB |
| 386 | Qwen3.8-2B-Distill-GGUF | — | — | ✓ apache-2.0 | 510 K | 1.9 GB |
| 387 | Pruna-Q-Image-2.1 | 7.1 B | — | other | 510 K | 2.3 GB |
| 388 | deepset-mxbai-embed-de-large-v1 | 487 M | 512 | ✓ apache-2.0 | 504 K | 1.6 GB |
| 389 | POCKET-35B-GGUF | 35.0 B | — | ✓ apache-2.0 | 504 K | 14.8 GB |
| 390 | Drama-3-GGUF | — | — | other | 496 K | 19.3 GB |
| 391 | snowflake-arctic-embed-s | 30 M | 512 | ✓ apache-2.0 | 496 K | 0.7 GB |
| 392 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 494 K | 1.3 GB |
| 393 | Sage-A1.5-Q8_0-GGUF | — | — | ✓ apache-2.0 | 490 K | 1.5 GB |
| 394 | Qwen2.5-32B-Instruct-GPTQ-Int4 | 32.8 B | 33 K | ✓ apache-2.0 | 487 K | 26.7 GB |
| 395 | Qwen3-Coder-30B-A3B-Instruct-GGUF | — | — | ✓ apache-2.0 | 486 K | 12.9 GB |
| 396 | Voxtral-Mini-4B-Realtime-2602-gguf | 4.0 B | — | ✓ apache-2.0 | 485 K | 4.2 GB |
| 397 | stable-diffusion-v1-4 | 860 M | — | ⚠ creativeml-openrail-m | 483 K | 13.5 GB |
| 398 | Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 | 7.6 B | 33 K | ✓ apache-2.0 | 482 K | 7.8 GB |
| 399 | Qwen3.8-27B-DFlash2-GGUF | — | — | ✓ apache-2.0 | 481 K | 1.8 GB |
| 400 | NVIDIA-Nemotron-3.5-Bolt-E4B-GGUF | 4.0 B | — | other | 481 K | 5.0 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.