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1,423 models · 1,213 open weights · 210 API-only · refreshed nightly

Models that run on RTX 3060 · 12 GB

Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

Type
All 1,423 Open weights (self-host) 1,213 API-only 210
Task
All text-generation 735 text-to-image 165 image-text-to-text 110 ASR 82 sentence-similarity 63 text-classification 50 translation 50 feature-extraction 46 image-classification 41 text-to-speech 23 token-classification 22 summarization 9 audio-classification 9 image-segmentation 9 object-detection 7 audio-text-to-text 1 any-to-any 1
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
$
605 models
#ModelParamsContextCommercial use30dOn RTX 3060 · 12 GB
451 h2ovl-mississippi-2b h2oai · text-generation Open weights 2.2 B — ✓ apache-2.0 230 K 5.6 GB
452 stable-diffusion-inpainting stable-diffusion-v1-5 · text-to-image Open weights — — ⚠ creativeml-openrail-m 229 K 3.5 GB
453 h2o-danube3-500m-chat h2oai · text-generation Open weights 514 M 8 K ✓ apache-2.0 229 K 1.7 GB
454 Llama-3.1-8B-Instruct-4bit mlx-community · text-generation Open weights 1.3 B 131 K ⚠ llama3.1 228 K 5.7 GB
455 ftrobertallm zhx123 · text-classification Open weights 355 M 512 ✓ mit 225 K 2.1 GB
456 prompt-saturation-attack-detector GuardrailsAI · text-classification Open weights 4.4 M 512 unknown 225 K 0.5 GB
457 Z-Image-GGUF unsloth · text-to-image Open weights 6.2 B — ✓ apache-2.0 224 K 4.0 GB
458 TinyStories-1M roneneldan · text-generation Open weights 1.0 M 2 K unknown 224 K 0.5 GB
459 OpenMed-NER-BloodCancerDetect-TinyMed-65M OpenMed · token-classification Open weights 65 M 512 ✓ apache-2.0 222 K 0.7 GB
460 OpenMed-NER-ChemicalDetect-ModernMed-149M OpenMed · token-classification Open weights 150 M 8 K ✓ apache-2.0 222 K 0.9 GB
461 long-t5-tglobal-base-sci-simplify pszemraj · summarization Open weights 248 M — ✓ apache-2.0 221 K 1.6 GB
462 vlt5-base-keywords Voicelab · text-generation Open weights 280 M — ✓ cc-by-4.0 220 K 1.8 GB
463 Qwen3-0.6B-GGUF Qwen · text-generation Open weights 600 M 41 K ✓ apache-2.0 220 K 1.3 GB
464 OpenMed-NER-PharmaDetect-BigMed-278M OpenMed · token-classification Open weights 278 M 512 ✓ apache-2.0 219 K 1.2 GB
465 DeepSeek-R1-0528-Qwen3-8B-MLX-4bit lmstudio-community · text-generation Open weights 1.3 B 131 K ✓ mit 218 K 5.8 GB
466 Ornith-1.5-9B-MLX-6bit ornith-ai · text-generation Open weights 9.0 B — unknown 218 K 9.8 GB
467 SmolLM2-360M-Instruct HuggingFaceTB · text-generation Open weights 360 M 8 K ✓ apache-2.0 218 K 1.4 GB
468 TinyLLama-v0 Maykeye · text-generation Open weights <0.1 M 2 K ✓ apache-2.0 215 K 0.5 GB
469 qwen3-4b-base-dapo-v4 ReliquaryForge · text-generation Open weights 4.0 B 33 K ✓ apache-2.0 215 K 10.0 GB
470 OpenMed-NER-DiseaseDetect-BioMed-335M OpenMed · token-classification Open weights 334 M 512 ✓ apache-2.0 214 K 1.3 GB
471 SmolLM3-3B-Base HuggingFaceTB · text-generation Open weights 3.1 B 66 K ✓ apache-2.0 213 K 7.7 GB
472 Parable-Qwen3-4B-Claude-Fable-5-GGUF AnkitAI · text-generation Open weights 4.0 B 41 K ✓ apache-2.0 213 K 3.8 GB
473 Parable-Qwen3-8B-Claude-Fable-5-GGUF AnkitAI · text-generation Open weights 8.0 B 41 K ✓ apache-2.0 212 K 7.2 GB
474 resnet-50 microsoft · image-classification Open weights 30 M — ✓ apache-2.0 212 K 0.6 GB
475 MiniCPM5-2B-MLX openbmb · text-generation Open weights 2.5 B 131 K ✓ apache-2.0 212 K 2.4 GB
476 Qwen3Guard-Gen-0.6B Qwen · text-generation Open weights 750 M 33 K ✓ apache-2.0 211 K 2.3 GB
477 controlnet-union-sdxl-1.0 xinsir · text-to-image Open weights 1.3 B — ✓ apache-2.0 208 K 6.2 GB
478 MuQ-large-msd-iter OpenMuQ · audio-classification Open weights 330 M — ✗ cc-by-nc-4.0 208 K 2.0 GB
479 Bielik-11B-v3.0-Instruct-awq speakleash · text-generation Open weights 11.3 B 33 K ✓ apache-2.0 208 K 9.0 GB
480 Qwen3.6-35B-A3B-DFlash z-lab · text-generation Open weights 390 M 262 K ✓ apache-2.0 208 K 1.4 GB
481 Mistral-7B-Instruct-v0.3-AWQ solidrust · text-generation Open weights 7.3 B 33 K ✓ apache-2.0 208 K 6.2 GB
482 The_GuageLLM_23M Hai929 · text-generation Open weights 20 M — ✓ apache-2.0 207 K 0.6 GB
483 Bonsai-27B-gguf prism-ml · text-generation Open weights — — ✓ apache-2.0 207 K 1.2 GB
484 Qwen3Guard-Gen-4B Qwen · text-generation Open weights 4.4 B 33 K ✓ apache-2.0 207 K 10.9 GB
485 Qwen2.5-Coder-1.5B-Instruct-GGUF Qwen · text-generation Open weights 1.5 B 33 K ✓ apache-2.0 206 K 1.6 GB
486 gemma-3-1b-it google · text-generation · gated Open weights 1.0 B — ⚠ gemma 206 K 2.8 GB
487 Mistral-7B-Instruct-v0.2-AWQ TheBloke · text-generation Open weights 7.2 B 33 K ✓ apache-2.0 205 K 6.2 GB
488 Qwen2.5-3B Qwen · text-generation Open weights 3.1 B 33 K other 203 K 7.8 GB
489 LFM2.5-1.2B-Instruct LiquidAI · text-generation Open weights 1.2 B 128 K other 201 K 3.3 GB
490 Yi-Coder-9B-Chat-GGUF MaziyarPanahi · text-generation Open weights — — unknown 201 K 2.7 GB
491 glm-4-9b-chat-IMat-GGUF legraphista · text-generation Open weights — — other 200 K 3.9 GB
492 VLM2Vec-Full TIGER-Lab · text-generation Open weights 4.2 B 131 K ✓ apache-2.0 199 K 10.2 GB
493 gemma-4-12b-heretic-abliterated-GGUF culturerevolt · text-generation Open weights — — ✓ apache-2.0 196 K 0.7 GB
494 Qwen2.5-Coder-32B-Instruct-GGUF Qwen · text-generation Open weights — — ✓ apache-2.0 196 K 9.1 GB
495 llama-3-8b-instruct-awq casperhansen · text-generation Open weights 8.0 B 8 K unknown 196 K 8.0 GB
496 Qwen2.5-3B-Instruct-unsloth-bnb-4bit unsloth · text-generation Open weights 3.2 B 33 K ✓ apache-2.0 195 K 3.6 GB
497 Qwen3-1.7B-GGUF unsloth · text-generation Open weights 1.7 B 41 K ✓ apache-2.0 195 K 1.6 GB
498 gpt-oss-120b-Eagle3-short-context nvidia · text-generation Open weights 787 M 131 K other 195 K 2.8 GB
499 Qwen2.5-1.5B-Instruct-AWQ Qwen · text-generation Open weights 1.8 B 33 K ✓ apache-2.0 195 K 2.5 GB
500 NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark nvidia · text-generation Open weights 760 M 1.0 M other 195 K 2.1 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.