AImodelsComparison.com 1,000 models
Menu
Models Best of Trending Can I run it? Methodology About
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.

Task
All text-generation 400 text-to-image 150 ASR 88 image-text-to-text 80 sentence-similarity 55 feature-extraction 45 translation 43 text-classification 39 image-classification 32 token-classification 21 text-to-speech 12 audio-classification 10 object-detection 10 image-segmentation 8 summarization 7
Runs on
Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB
Licence
Size
$
1,000 models
#ModelParamsContextCommercial use30dMin VRAM
601 Ternary-Bonsai-8B-gguf prism-ml · text-generation — — ✓ apache-2.0 392 K from 2.9 GB
602 Qwen3.8-27B-DFlash2 incoai · text-generation 1.9 B 262 K ✓ apache-2.0 391 K from 5.0 GB
603 Kwaipilot_KAT-Coder-V2.5-Dev-GGUF bartowski · text-generation — — ✓ apache-2.0 390 K from 11.3 GB
604 Ornith-1.0-397B deepreinforce-ai · text-generation 396.8 B — ✓ mit 387 K from 933.0 GB
605 Phi-4-mini-instruct microsoft · text-generation 3.8 B 131 K ✓ mit 384 K from 9.5 GB
606 TwIL-LM3 webAI-Official · text-generation 3.1 B 66 K other 384 K from 3.1 GB
607 NVIDIA-Nemotron-Nano-9B-v2 nvidia · text-generation 8.9 B 131 K other 383 K from 21.4 GB
608 Ornith-1.5-35B-A3B-MLX ornith-ai · text-generation 34.7 B — unknown 383 K from 82.0 GB
609 Ornith-1.5-397B-FP8 ornith-ai · text-generation 403.4 B — ✓ mit 382 K from 521.2 GB
610 rtdetr_r50vd_coco_o365 PekingU · object-detection 40 M — ✓ apache-2.0 380 K from 0.7 GB
611 falcon-7b tiiuae · text-generation 7.2 B — ✓ apache-2.0 379 K from 17.5 GB
612 pythia-14m EleutherAI · text-generation 10 M 2 K ✓ apache-2.0 378 K from 0.5 GB
613 Hermes-3-Llama-3.1-8B NousResearch · text-generation 8.0 B 131 K ⚠ llama3 377 K from 19.4 GB
614 mistral-7b-v0.3-bnb-4bit unsloth · text-generation 7.5 B 33 K ✓ apache-2.0 377 K from 6.2 GB
615 Qwen3-235B-A22B-Instruct-2507-FP8 Qwen · text-generation 235.1 B 262 K ✓ apache-2.0 376 K from 295.8 GB
616 opus-mt-ko-en Helsinki-NLP · translation — 512 ✓ apache-2.0 372 K —
617 Ornith-1.5-9B-OBLITERATED OBLITERATUS · text-generation 9.7 B — ✓ mit 371 K from 6.3 GB
618 Qwen2-7B-Instruct Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 369 K from 18.4 GB
619 segformer-b0-finetuned-ade-512-512 nvidia · image-segmentation <0.1 M — other 368 K from 0.5 GB
620 Llama-3.2-3B meta-llama · text-generation · gated 3.2 B — ⚠ llama3.2 368 K from 8.0 GB
621 sanskrit-en-custom-transformer krpraveen · translation — — ✓ mit 367 K —
622 Parable-Granite-4.1-3B-Claude-Fable-5-GGUF AnkitAI · text-generation — — ✓ apache-2.0 366 K from 2.8 GB
623 privacy-filter-multilingual-GGUF LocalAI-io · token-classification — — ✓ apache-2.0 366 K from 2.3 GB
624 Qwen3.8-27B-DFlash2 z-lab · text-generation 1.9 B 262 K ✓ apache-2.0 364 K from 5.0 GB
625 Parable-Granite-4.1-8B-Claude-Fable-5-GGUF AnkitAI · text-generation — — ✓ apache-2.0 362 K from 6.1 GB
626 Qwen2.5-Coder-1.5B Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 361 K from 4.1 GB
627 MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF GnLOLot · text-generation — — ✓ apache-2.0 360 K from 1.8 GB
628 Qwen3.6-35B-A3B-NVFP4-MTP-GGUF michaelw9999 · text-generation — — unknown 360 K from 23.0 GB
629 POCKET-26B-GGUF FINAL-Bench · text-generation — — ✓ apache-2.0 360 K from 12.7 GB
630 NVIDIA-Nemotron-3.5-Lightning-30B-A3B-FP8 RedHatAI · text-generation 31.6 B 262 K unknown 357 K from 40.8 GB
631 Qwen2.5-72B-Instruct Qwen · text-generation 72.7 B 33 K other 356 K from 171.4 GB
632 Z-Image-Turbo-GGUF unsloth · text-to-image — — ✓ apache-2.0 356 K from 4.5 GB
633 vlt5-base-keywords Voicelab · text-generation 280 M — ✓ cc-by-4.0 355 K from 1.8 GB
634 Ornith-1.0-397B-FP8 ornith-ai · text-generation 396.8 B — ✓ mit 354 K from 505.7 GB
635 AI-image-detector umm-maybe · image-classification — — ✓ cc-by-4.0 353 K —
636 GLM-5.2-GGUF unsloth · text-generation — — ✓ mit 352 K from 52.0 GB
637 t5-large google-t5 · translation 740 M — ✓ apache-2.0 352 K from 3.9 GB
638 Z-Image-Lora nphSi · text-to-image — — ✓ apache-2.0 351 K from 109.6 GB
639 amd.Instella-MoE-16B-A3B-Think-GGUF DevQuasar · text-generation — — unknown 351 K from 7.7 GB
640 deberta-xlarge-mnli microsoft · text-classification — 512 ✓ mit 349 K —
641 RMBG-1.4 briaai · image-segmentation 40 M — other 349 K from 0.7 GB
642 Qwen3-235B-A22B Qwen · text-generation 235.1 B 41 K ✓ apache-2.0 348 K from 553.0 GB
643 wide_resnet50_2.racm_in1k timm · image-classification 70 M — ✓ apache-2.0 348 K from 0.8 GB
644 animagine-xl-4.0 cagliostrolab · text-to-image 2.6 B — ⚠ openrail++ 344 K from 23.8 GB
645 Agents-A1-4B InternScience · text-generation 4.5 B — ✓ apache-2.0 344 K from 11.2 GB
646 NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4 nvidia · text-generation 302.8 B 262 K other 343 K from 433.5 GB
647 Ling-3.0-flash-GGUF AtomicChat · text-generation — — ✓ mit 341 K from 36.1 GB
648 Ornith-1.5-9B-MLX-8bit ornith-ai · text-generation 9.0 B — unknown 341 K from 12.3 GB
649 Ornith-1.5-9B-MLX ornith-ai · text-generation 9.0 B — unknown 341 K from 21.5 GB
650 RealVisXL_V5.0 SG161222 · text-to-image 2.6 B — ⚠ openrail++ 341 K from 46.7 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.