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

Models that run on RTX 4070 · 16 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
$
654 models
#ModelParamsContextCommercial use30dOn RTX 4070 · 16 GB
401 inclusively-classification E-MIMIC · text-classification Open weights 110 M 512 ✗ cc-by-nc-sa-4.0 323 K 1.0 GB
402 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
403 Phi-3-mini-4k-instruct microsoft · text-generation Open weights 3.8 B 4 K ✓ mit 321 K 9.5 GB
404 Ornith-1.0-9B-AWQ-INT4 cyankiwi · text-generation Open weights 9.4 B — ✓ mit 317 K 11.8 GB
405 Spark-X2.5-4B-GGUF XHToken · text-generation Open weights 4.0 B — ✓ apache-2.0 315 K 4.0 GB
406 regnety_032.ra_in1k timm · image-classification Open weights 20 M — ✓ apache-2.0 314 K 0.6 GB
407 opus-mt-fr-en Helsinki-NLP · translation Open weights 80 M 512 ✓ apache-2.0 312 K 0.8 GB
408 macbert4csc-base-chinese shibing624 · text-generation Open weights 100 M 512 ✓ apache-2.0 312 K 1.0 GB
409 phishing-email-detection-distilbert_v2.4.1 cybersectony · text-classification Open weights 70 M 512 ✓ apache-2.0 311 K 0.8 GB
410 mms-lid-1024 facebook · audio-classification Open weights 967 M — ✗ cc-by-nc-4.0 308 K 4.9 GB
411 Qwen3-1.7B PrimeIntellect · text-generation Open weights 2.0 B 41 K ✓ apache-2.0 306 K 5.3 GB
412 prokbert-mini-promoter neuralbioinfo · text-classification Open weights 20 M 1 K ✗ cc-by-nc-4.0 302 K 0.6 GB
413 vit_small_patch16_224.augreg_in21k_ft_in1k timm · image-classification Open weights 20 M — ✓ apache-2.0 302 K 0.6 GB
414 pythia-14m EleutherAI · text-generation Open weights 10 M 2 K ✓ apache-2.0 299 K 0.5 GB
415 GLM-4.7-Flash-GGUF unsloth · text-generation Open weights — — ✓ mit 296 K 13.0 GB
416 nllb-200-3.3B facebook · translation Open weights 3.3 B 1 K ✗ cc-by-nc-4.0 296 K 8.3 GB
417 JiRackUltra_14b CMSManhattan · text-generation Open weights 14.8 B 131 K ✓ mit 292 K 9.1 GB
418 voice-gender-classifier JaesungHuh · audio-classification Open weights 20 M — ✓ mit 291 K 0.6 GB
419 Qwen2.5-3B-Instruct-GGUF Qwen · text-generation Open weights — — other 291 K 2.0 GB
420 Qwen2.5-7B-Instruct-GGUF bartowski · text-generation Open weights — — ✓ apache-2.0 288 K 3.6 GB
421 xflux_text_encoders XLabs-AI · text-generation Open weights 4.8 B — ✓ apache-2.0 288 K 11.7 GB
422 resnet50.fb_swsl_ig1b_ft_in1k timm · image-classification Open weights 26 M — ✗ cc-by-nc-4.0 288 K 0.6 GB
423 segformer-b0-finetuned-ade-512-512 nvidia · image-segmentation Open weights <0.1 M — other 286 K 0.5 GB
424 gpt2-mini erwanf · text-generation Open weights 39 M — ✓ mit 285 K 0.7 GB
425 controlnet-openpose-sdxl-1.0 xinsir · text-to-image Open weights 1.3 B — ✓ apache-2.0 285 K 6.2 GB
426 LFM3-1.7B-GGUF LiquidAI · text-generation Open weights 1.7 B — other 283 K 1.9 GB
427 koelectra-small-v3-nsmc daekeun-ml · text-classification Open weights 10 M 512 ✓ mit 283 K 0.6 GB
428 OpenMed-NER-PharmaDetect-SuperClinical-434M OpenMed · token-classification Open weights 430 M 512 ✓ apache-2.0 279 K 1.5 GB
429 vit_base_patch8_224.augreg2_in21k_ft_in1k timm · image-classification Open weights 90 M — ✓ apache-2.0 279 K 0.9 GB
430 vit_tiny_patch16_224.augreg_in21k_ft_in1k timm · image-classification Open weights 10 M — ✓ apache-2.0 276 K 0.5 GB
431 convnext_tiny.fb_in22k_ft_in1k timm · image-classification Open weights 29 M — ✓ apache-2.0 275 K 0.6 GB
432 LFM2.5-230M-Base LiquidAI · text-generation Open weights 230 M 128 K other 275 K 1.0 GB
433 IP-Adapter-FaceID h94 · text-to-image Open weights — — unknown 274 K 1.5 GB
434 Ternary-Bonsai-27B-gguf prism-ml · text-generation Open weights — — ✓ apache-2.0 274 K 1.2 GB
435 vit_tiny_r_s16_p8_224.augreg_in21k timm · image-classification Open weights 10 M — ✓ apache-2.0 274 K 0.5 GB
436 edgenext_small.usi_in1k timm · image-classification Open weights 10 M — ✓ mit 271 K 0.5 GB
437 table-transformer-detection microsoft · object-detection Open weights 30 M 1 K ✓ mit 270 K 0.6 GB
438 CodonTransformer adibvafa · token-classification Open weights 90 M 4 K ✓ apache-2.0 270 K 0.9 GB
439 Llama-3.2-3B meta-llama · text-generation · gated Open weights 3.2 B — ⚠ llama3.2 269 K 8.0 GB
440 SmolLM2-1.7B-Instruct HuggingFaceTB · text-generation Open weights 1.7 B 8 K ✓ apache-2.0 267 K 4.5 GB
441 taardis-27b-full-ternary CodeMasterCody3D · text-generation Open weights 27.0 B — ✓ apache-2.0 267 K 12.4 GB
442 Kimi-K3-DSpark RadixArk · text-generation Open weights 2.3 B 1.0 M unknown 266 K 5.8 GB
443 gliner2.5-multi-v1 fastino · token-classification Open weights 287 M — ✓ apache-2.0 266 K 1.8 GB
444 Ornith-1.5-9B-MLX-4bit ornith-ai · text-generation Open weights 9.0 B — unknown 265 K 7.4 GB
445 Qwen2.5-Coder-7B-Instruct-4bit mlx-community · text-generation Open weights 1.2 B 33 K ✓ apache-2.0 264 K 5.4 GB
446 phishing-distilbert-cyber207 ptouch · text-classification Open weights 67 M 512 unknown 264 K 0.8 GB
447 segformer-b0-finetuned-ade-512-512 Xenova · image-segmentation Open weights <0.1 M — unknown 263 K —
448 densenetblur121d.ra_in1k timm · image-classification Open weights 8.1 M — ✓ apache-2.0 262 K 0.5 GB
449 TwIL-LM3 webAI-Official · text-generation Open weights 3.1 B 66 K other 260 K 3.1 GB
450 Qwen-Image-2.1-Turbo-GGUF AtomicChat · text-to-image Open weights — — other 259 K 3.3 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.