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.

#ModelParamsContextCommercial use30dMin VRAM
501 Qwen3-VL-Embedding-8B-FP8 RamManavalan · feature-extraction 8.8 B ✓ apache-2.0 525 K from 13.5 GB
502 wav2vec2-large-xlsr-53-estonian anton-l · ASR ✓ apache-2.0 523 K
503 Qwen2.5-32B-Instruct-GPTQ-Int4 Qwen · text-generation 32.8 B 33 K ✓ apache-2.0 522 K from 26.7 GB
504 Qwen3-Coder-Next Qwen · text-generation 79.7 B 262 K ✓ apache-2.0 521 K from 187.7 GB
505 Ornith-1.0-9B-GGUF unsloth · text-generation ✓ mit 520 K from 5.3 GB
506 faster-whisper-base.en Systran · ASR ✓ mit 517 K
507 distil-large-v3 distil-whisper · ASR 760 M ✓ mit 517 K from 5.6 GB
508 jina-embeddings-v5-text-nano jinaai · feature-extraction 210 M 8 K ✗ cc-by-nc-4.0 515 K from 1.1 GB
509 qwen3-4b-base-dapo-v4 ReliquaryForge · text-generation 4.0 B 33 K ✓ apache-2.0 515 K from 10.0 GB
510 Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 515 K from 7.8 GB
511 Qwen3.6-27B-Text-NVFP4-MTP sakamakismile · text-generation 16.7 B ✓ apache-2.0 514 K from 24.6 GB
512 Realistic_Vision_V5.1_noVAE SG161222 · text-to-image 860 M ⚠ creativeml-openrail-m 509 K from 19.4 GB
513 llama-3.3-70b-instruct-awq casperhansen · text-generation 70.6 B 131 K ⚠ llama3.3 507 K from 54.8 GB
514 open-vakgyata onecxi · audio-classification 60 M ✗ cc-by-nc-4.0 507 K from 0.8 GB
515 GLM-5.3-GGUF unsloth · text-generation other 506 K from 52.0 GB
516 bloom-560m bigscience · text-generation 560 M ⚠ bigscience-bloom-rail-1.0 502 K from 1.8 GB
517 wav2vec2-xls-r-300m-sk-cv8 comodoro · ASR 300 M ✓ apache-2.0 502 K from 1.2 GB
518 lambda unslothai · feature-extraction unknown 498 K from 0.5 GB
519 Ornith-1.5-397B-NVFP4 ornith-ai · text-generation 202.6 B ✓ mit 498 K from 296.8 GB
520 Qwen3-30B-A3B-Instruct-2507-FP8 Qwen · text-generation 30.5 B 262 K ✓ apache-2.0 498 K from 39.4 GB
521 VibeVoice-1.5B microsoft · text-to-speech 2.7 B ✓ mit 497 K from 6.9 GB
522 snowflake-arctic-embed-s Snowflake · sentence-similarity 30 M 512 ✓ apache-2.0 496 K from 0.7 GB
523 hubert-base-ls960 facebook · feature-extraction ✓ apache-2.0 496 K
524 pythia-160m-deduped EleutherAI · text-generation 210 M 2 K ✓ apache-2.0 492 K from 0.9 GB
525 ruri-v3-310m cl-nagoya · sentence-similarity 310 M 8 K ✓ apache-2.0 492 K from 1.9 GB
526 resnet34.a1_in1k timm · image-classification 20 M ✓ apache-2.0 492 K from 0.6 GB
527 sat-3l-sm segment-any-text · token-classification 210 M 514 ✓ mit 491 K from 1.5 GB
528 Ornith-1.5-35B-A3B-FP8 ornith-ai · text-generation 36.0 B ✓ mit 489 K from 49.2 GB
529 xlm-emo-t MilaNLProc · text-classification 512 unknown 488 K
530 cryptobert ElKulako · text-classification 120 M 512 ✓ mit 483 K from 1.1 GB
531 resnet18.a3_in1k timm · image-classification 10 M ✓ apache-2.0 483 K from 0.6 GB
532 gemma-4-12B-coder-fable5-composer2.5-v1-GGUF yuxinlu1 · text-generation ✓ apache-2.0 483 K from 5.8 GB
533 SmolLM2-360M HuggingFaceTB · text-generation 360 M 8 K ✓ apache-2.0 481 K from 1.4 GB
534 snowflake-arctic-embed-l Snowflake · sentence-similarity 334 M 512 ✓ apache-2.0 480 K from 2.0 GB
535 DeepSeek-R1-Distill-Qwen-32B deepseek-ai · text-generation 32.8 B 131 K ✓ mit 479 K from 77.5 GB
536 Parable-Qwen3-4B-Claude-Fable-5-GGUF AnkitAI · text-generation ✓ apache-2.0 479 K from 3.2 GB
537 Qwen3-Coder-Next-NVFP4-GB10 ucbye · text-generation 262 K ✓ apache-2.0 477 K from 50.9 GB
538 Qwen2.5-72B-Instruct-AWQ Qwen · text-generation 73.0 B 33 K other 475 K from 57.2 GB
539 Qwen3-4B-GGUF unsloth · text-generation 41 K ✓ apache-2.0 474 K from 2.3 GB
540 sentence-bert-base-ja-mean-tokens-v2 sonoisa · feature-extraction 110 M 512 cc-by-sa-4.0 474 K from 1.0 GB
541 wav2vec2-large-xlsr-japanese-hiragana vumichien · ASR 320 M ✓ apache-2.0 472 K from 1.9 GB
542 Apertus-8B-Instruct-2509 swiss-ai · text-generation 8.1 B 66 K ✓ apache-2.0 472 K from 19.4 GB
543 nomic-embed-code nomic-ai · sentence-similarity 7.1 B 33 K ✓ apache-2.0 471 K from 32.7 GB
544 faster-whisper-tiny.en Systran · ASR ✓ mit 469 K
545 wav2vec2-large-xls-r-300m-sinhala-low-LR-part1 SpideyDLK · ASR 320 M unknown 469 K from 1.9 GB
546 wav2vec2-large-xlsr-53-basque stefan-it · ASR 320 M ✓ apache-2.0 468 K from 1.9 GB
547 KR-SBERT-V40K-klueNLI-augSTS snunlp · sentence-similarity 512 unknown 467 K
548 Llama-3.1-405B-FP8 meta-llama · text-generation · gated 405.9 B ⚠ llama3.1 465 K from 597.3 GB
549 Ornith-1.0-35B-FP8 ornith-ai · text-generation 35.1 B ✓ mit 465 K from 47.2 GB
550 opus-mt-ru-en Helsinki-NLP · translation 512 ✓ cc-by-4.0 465 K
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.