1,000 models · refreshed nightly
All models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 451 | EXAONE-3.5-7.8B-Instruct-AWQ | 7.8 B | 33 K | other | 614 K | from 7.5 GB |
| 452 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 611 K | from 3.0 GB |
| 453 | repvgg_a0.rvgg_in1k | 10 M | — | ✓ mit | 606 K | from 0.5 GB |
| 454 | VieNeu-TTS-v3-Turbo | 130 M | 1 K | ✓ apache-2.0 | 605 K | from 1.1 GB |
| 455 | Qwen2.5-Coder-3B-Instruct | 3.1 B | 33 K | other | 604 K | from 7.8 GB |
| 456 | Qwen2-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 601 K | from 4.1 GB |
| 457 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 599 K | from 0.7 GB |
| 458 | Qwen3-ASR-0.6B | 940 M | — | ✓ apache-2.0 | 598 K | from 2.7 GB |
| 459 | wav2vec2-large-xlsr-53-arabic | — | — | ✓ apache-2.0 | 593 K | — |
| 460 | detr-resnet-50 | 40 M | 1 K | ✓ apache-2.0 | 591 K | from 0.7 GB |
| 461 | Qwen3-Reranker-4B-W4A16-G128 | 4.1 B | 41 K | ✓ apache-2.0 | 586 K | from 4.0 GB |
| 462 | LFM2.5-230M-GGUF | — | — | other | 586 K | from 0.7 GB |
| 463 | Parable-Qwen3-8B-Claude-Fable-5-GGUF | — | — | ✓ apache-2.0 | 583 K | from 6.0 GB |
| 464 | Qwen3-14B-Base | 14.8 B | 33 K | ✓ apache-2.0 | 582 K | from 35.2 GB |
| 465 | parakeet-tdt-0.6b-v3 | 630 M | — | ✓ cc-by-4.0 | 577 K | from 1.4 GB |
| 466 | convnext_tiny.in12k_ft_in1k | 30 M | — | ✓ apache-2.0 | 577 K | from 0.6 GB |
| 467 | table-transformer-detection | 30 M | 1 K | ✓ mit | 576 K | from 0.6 GB |
| 468 | parakeet-tdt-0.6b-v3-gguf | — | — | ✓ cc-by-4.0 | 575 K | from 1.0 GB |
| 469 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 575 K | from 1.3 GB |
| 470 | FLUX.1-schnell | 11.9 B | — | ✓ apache-2.0 | 574 K | from 65.9 GB |
| 471 | wav2vec2-large-xlsr-lithuanian | — | — | ✓ apache-2.0 | 572 K | — |
| 472 | SmolLM-1.7B-Instruct-quantized.w4a16 | 1.8 B | 2 K | ✓ apache-2.0 | 571 K | from 2.7 GB |
| 473 | LFM2.5-8B-A1B-GGUF | — | — | other | 571 K | from 5.8 GB |
| 474 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 | 31.6 B | 262 K | other | 570 K | from 77.6 GB |
| 475 | DeepSeek-V4-Pro | 1,598.8 B | 1.0 M | ✓ mit | 569 K | from 1,191.5 GB |
| 476 | emotion-english-distilroberta-base | — | 512 | unknown | 569 K | — |
| 477 | Qwen2.5-Coder-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 567 K | from 4.1 GB |
| 478 | wav2vec2-large-xls-r-300m-welsh | 300 M | — | ✓ apache-2.0 | 567 K | from 1.2 GB |
| 479 | Qwen3-Coder-30B-A3B-Instruct | 30.5 B | 262 K | ✓ apache-2.0 | 565 K | from 72.3 GB |
| 480 | bge-reranker-v2.5-gemma2-lightweight-gptq | 9.2 B | 8 K | unknown | 563 K | from 8.7 GB |
| 481 | gemma-4-31B-it-NVFP4-turbo | 32.5 B | — | ✓ apache-2.0 | 561 K | from 26.6 GB |
| 482 | e5-small-v2 | 30 M | 512 | ✓ mit | 558 K | from 0.7 GB |
| 483 | xlm-roberta-base-language-detection | 280 M | 512 | ✓ mit | 557 K | from 1.8 GB |
| 484 | rtdetr_v2_r18vd | 20 M | — | ✓ apache-2.0 | 557 K | from 0.6 GB |
| 485 | phi-2 | 2.8 B | 2 K | ✓ mit | 556 K | from 7.0 GB |
| 486 | wav2vec2-xls-r-300m-cv7-turkish | 300 M | — | ✓ cc-by-4.0 | 556 K | from 1.2 GB |
| 487 | inclusively-classification | 110 M | 512 | ✗ cc-by-nc-sa-4.0 | 552 K | from 1.0 GB |
| 488 | paraphrase-albert-small-v2 | 10 M | 512 | ✓ apache-2.0 | 551 K | from 0.6 GB |
| 489 | MedCPT-Cross-Encoder | — | 512 | other | 551 K | — |
| 490 | Ornith-1.5-9B | 9.7 B | — | ✓ mit | 546 K | from 23.2 GB |
| 491 | macbert4csc-base-chinese | 100 M | 512 | ✓ apache-2.0 | 543 K | from 1.0 GB |
| 492 | gpt-oss-20b-GGUF | — | 131 K | ✓ apache-2.0 | 543 K | from 13.1 GB |
| 493 | resnet-50 | 30 M | — | ✓ apache-2.0 | 542 K | from 0.6 GB |
| 494 | ko-sroberta-multitask | 110 M | 512 | unknown | 540 K | from 1.0 GB |
| 495 | gpt-neo-125m | 150 M | 2 K | ✓ mit | 538 K | from 1.1 GB |
| 496 | whisper-bemba-stt | 240 M | — | unknown | 534 K | from 1.6 GB |
| 497 | Llama-3.1-8B | 8.0 B | — | ⚠ llama3.1 | 534 K | from 19.4 GB |
| 498 | Qwen3-Embedding-4B-W4A16-G128 | 4.1 B | 41 K | ✓ apache-2.0 | 532 K | from 4.0 GB |
| 499 | whisper-medium-gguf | — | — | ✓ apache-2.0 | 529 K | from 1.1 GB |
| 500 | Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF | — | — | ✓ mit | 526 K | from 12.5 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.