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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
351 humanizer jialinyyzz · text-generation Open weights 12.0 B — ✓ apache-2.0 380 K 6.6 GB
352 Qwen-Image-2.1-Turbo-GGUF DogukanUrker · text-to-image Open weights — — other 379 K 3.1 GB
353 bloom-560m bigscience · text-generation Open weights 560 M — ⚠ bigscience-bloom-rail-1.0 378 K 1.8 GB
354 Qwen2.5-Coder-7B-Instruct-GGUF Qwen · text-generation Open weights — — ✓ apache-2.0 376 K 3.8 GB
355 audiobox-aesthetics facebook · audio-classification Open weights 100 M — ✓ cc-by-4.0 375 K 1.0 GB
356 deid_roberta_i2b2 obi · token-classification Open weights 350 M 512 ✓ mit 369 K 2.1 GB
357 Phi-3.5-mini-instruct microsoft · text-generation Open weights 3.8 B 131 K ✓ mit 367 K 9.5 GB
358 spark-s1-4b-v6-GGUF abhishek085 · text-classification Open weights 4.0 B — ✓ apache-2.0 367 K 4.9 GB
359 Qwen3-4B-Thinking-2507 Qwen · text-generation Open weights 4.0 B 262 K ✓ apache-2.0 364 K 10.0 GB
360 fullstop-punctuation-multilang-large oliverguhr · token-classification Open weights 560 M 512 ✓ mit 363 K 3.0 GB
361 gpt-oss-20b-GGUF ggml-org · text-generation Open weights 20.0 B 131 K ✓ apache-2.0 356 K 4.5 GB
362 roberta-base-openai-detector openai-community · text-classification Open weights 125 M 512 ✓ mit 353 K 1.1 GB
363 convnext_base.fb_in22k_ft_in1k timm · image-classification Open weights 90 M — ✓ apache-2.0 350 K 0.9 GB
364 wide_resnet101_2.tv_in1k timm · image-classification Open weights 127 M — ✓ bsd-3-clause 350 K 1.1 GB
365 Meta-Llama-3.1-8B-Instruct-GGUF bartowski · text-generation Open weights — — ⚠ llama3.1 344 K 3.7 GB
366 Spark-X2.5-4B-GGUF abenzerps · text-generation Open weights 4.0 B — ✓ apache-2.0 338 K 3.7 GB
367 mask2former-swin-large-ade-semantic facebook · image-segmentation Open weights 220 M — other 336 K 1.5 GB
368 Pony_Diffusion_V6_XL LyliaEngine · text-to-image Open weights — — cdla-permissive-2.0 335 K 8.5 GB
369 resnet-18 microsoft · image-classification Open weights 12 M — ✓ apache-2.0 333 K 0.6 GB
370 Phi-4-mini-instruct microsoft · text-generation Open weights 3.8 B 131 K ✓ mit 332 K 9.5 GB
371 Ornith-1.5-9B-OBLITERATED OBLITERATUS · text-generation Open weights 9.7 B — ✓ mit 332 K 6.3 GB
372 convnextv2_large.fcmae_ft_in22k_in1k_384 timm · image-classification Open weights 200 M — ✗ cc-by-nc-4.0 327 K 1.4 GB
373 Jan-v3.5-4B-gguf janhq · text-generation Open weights — — ✓ apache-2.0 327 K 2.8 GB
374 inclusively-classification E-MIMIC · text-classification Open weights 110 M 512 ✗ cc-by-nc-sa-4.0 323 K 1.0 GB
375 Meta-Llama-3.1-8B-Instruct-AWQ-INT4 hugging-quants · text-generation Open weights 8.0 B 131 K ⚠ llama3.1 321 K 8.0 GB
376 Phi-3-mini-4k-instruct microsoft · text-generation Open weights 3.8 B 4 K ✓ mit 321 K 9.5 GB
377 Ornith-1.0-9B-AWQ-INT4 cyankiwi · text-generation Open weights 9.4 B — ✓ mit 317 K 11.8 GB
378 Spark-X2.5-4B-GGUF XHToken · text-generation Open weights 4.0 B — ✓ apache-2.0 315 K 4.0 GB
379 regnety_032.ra_in1k timm · image-classification Open weights 20 M — ✓ apache-2.0 314 K 0.6 GB
380 opus-mt-fr-en Helsinki-NLP · translation Open weights 80 M 512 ✓ apache-2.0 312 K 0.8 GB
381 macbert4csc-base-chinese shibing624 · text-generation Open weights 100 M 512 ✓ apache-2.0 312 K 1.0 GB
382 phishing-email-detection-distilbert_v2.4.1 cybersectony · text-classification Open weights 70 M 512 ✓ apache-2.0 311 K 0.8 GB
383 mms-lid-1024 facebook · audio-classification Open weights 967 M — ✗ cc-by-nc-4.0 308 K 4.9 GB
384 Qwen3-1.7B PrimeIntellect · text-generation Open weights 2.0 B 41 K ✓ apache-2.0 306 K 5.3 GB
385 prokbert-mini-promoter neuralbioinfo · text-classification Open weights 20 M 1 K ✗ cc-by-nc-4.0 302 K 0.6 GB
386 vit_small_patch16_224.augreg_in21k_ft_in1k timm · image-classification Open weights 20 M — ✓ apache-2.0 302 K 0.6 GB
387 pythia-14m EleutherAI · text-generation Open weights 10 M 2 K ✓ apache-2.0 299 K 0.5 GB
388 nllb-200-3.3B facebook · translation Open weights 3.3 B 1 K ✗ cc-by-nc-4.0 296 K 8.3 GB
389 JiRackUltra_14b CMSManhattan · text-generation Open weights 14.8 B 131 K ✓ mit 292 K 9.1 GB
390 voice-gender-classifier JaesungHuh · audio-classification Open weights 20 M — ✓ mit 291 K 0.6 GB
391 Qwen2.5-3B-Instruct-GGUF Qwen · text-generation Open weights — — other 291 K 2.0 GB
392 Qwen2.5-7B-Instruct-GGUF bartowski · text-generation Open weights — — ✓ apache-2.0 288 K 3.6 GB
393 xflux_text_encoders XLabs-AI · text-generation Open weights 4.8 B — ✓ apache-2.0 288 K 11.7 GB
394 resnet50.fb_swsl_ig1b_ft_in1k timm · image-classification Open weights 26 M — ✗ cc-by-nc-4.0 288 K 0.6 GB
395 segformer-b0-finetuned-ade-512-512 nvidia · image-segmentation Open weights <0.1 M — other 286 K 0.5 GB
396 gpt2-mini erwanf · text-generation Open weights 39 M — ✓ mit 285 K 0.7 GB
397 controlnet-openpose-sdxl-1.0 xinsir · text-to-image Open weights 1.3 B — ✓ apache-2.0 285 K 6.2 GB
398 LFM3-1.7B-GGUF LiquidAI · text-generation Open weights 1.7 B — other 283 K 1.9 GB
399 koelectra-small-v3-nsmc daekeun-ml · text-classification Open weights 10 M 512 ✓ mit 283 K 0.6 GB
400 OpenMed-NER-PharmaDetect-SuperClinical-434M OpenMed · token-classification Open weights 430 M 512 ✓ apache-2.0 279 K 1.5 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.