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.
| # | Model | Params | Context | Commercial use | 30d | On RTX 3060 · 12 GB |
|---|---|---|---|---|---|---|
| 401 | vit_base_patch8_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 279 K | 0.9 GB |
| 402 | vit_tiny_patch16_224.augreg_in21k_ft_in1k | 10 M | — | ✓ apache-2.0 | 276 K | 0.5 GB |
| 403 | convnext_tiny.fb_in22k_ft_in1k | 29 M | — | ✓ apache-2.0 | 275 K | 0.6 GB |
| 404 | LFM2.5-230M-Base | 230 M | 128 K | other | 275 K | 1.0 GB |
| 405 | IP-Adapter-FaceID | — | — | unknown | 274 K | 1.5 GB |
| 406 | Ternary-Bonsai-27B-gguf | — | — | ✓ apache-2.0 | 274 K | 1.2 GB |
| 407 | vit_tiny_r_s16_p8_224.augreg_in21k | 10 M | — | ✓ apache-2.0 | 274 K | 0.5 GB |
| 408 | edgenext_small.usi_in1k | 10 M | — | ✓ mit | 271 K | 0.5 GB |
| 409 | table-transformer-detection | 30 M | 1 K | ✓ mit | 270 K | 0.6 GB |
| 410 | CodonTransformer | 90 M | 4 K | ✓ apache-2.0 | 270 K | 0.9 GB |
| 411 | Llama-3.2-3B | 3.2 B | — | ⚠ llama3.2 | 269 K | 8.0 GB |
| 412 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 267 K | 4.5 GB |
| 413 | Kimi-K3-DSpark | 2.3 B | 1.0 M | unknown | 266 K | 5.8 GB |
| 414 | gliner2.5-multi-v1 | 287 M | — | ✓ apache-2.0 | 266 K | 1.8 GB |
| 415 | Ornith-1.5-9B-MLX-4bit | 9.0 B | — | unknown | 265 K | 7.4 GB |
| 416 | Qwen2.5-Coder-7B-Instruct-4bit | 1.2 B | 33 K | ✓ apache-2.0 | 264 K | 5.4 GB |
| 417 | phishing-distilbert-cyber207 | 67 M | 512 | unknown | 264 K | 0.8 GB |
| 418 | segformer-b0-finetuned-ade-512-512 | <0.1 M | — | unknown | 263 K | — |
| 419 | densenetblur121d.ra_in1k | 8.1 M | — | ✓ apache-2.0 | 262 K | 0.5 GB |
| 420 | TwIL-LM3 | 3.1 B | 66 K | other | 260 K | 3.1 GB |
| 421 | Qwen-Image-2.1-Turbo-GGUF | — | — | other | 259 K | 3.3 GB |
| 422 | waiIllustriousSDXL_v170 | — | — | cdla-permissive-2.0 | 259 K | 8.1 GB |
| 423 | rubert-tiny-toxicity | 10 M | 512 | ✓ mit | 258 K | 0.6 GB |
| 424 | LFM2.5-1.2B-Instruct-GGUF | 1.2 B | 128 K | other | 257 K | 1.4 GB |
| 425 | Kwaipilot_KAT-Coder-V2.5-Dev-GGUF | — | — | ✓ apache-2.0 | 257 K | 11.3 GB |
| 426 | RMBG-1.4 | 40 M | — | other | 256 K | 0.7 GB |
| 427 | Llama-3.2-3B-Instruct-GGUF | — | 131 K | ⚠ llama3.2 | 253 K | 2.0 GB |
| 428 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 251 K | 7.5 GB |
| 429 | Spark-X2.5-1.7B-GGUF | 1.7 B | — | ✓ apache-2.0 | 251 K | 2.0 GB |
| 430 | Ling-3.0-tiny-GGUF | — | 131 K | ✓ mit | 248 K | 2.4 GB |
| 431 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 247 K | 3.4 GB |
| 432 | FLUX.1-dev-gguf | — | — | other | 247 K | 4.9 GB |
| 433 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | 3.0 GB |
| 434 | indictrans2-en-indic-dist-200M | 275 M | — | ✓ mit | 244 K | 1.7 GB |
| 435 | h2ovl-mississippi-800m | 830 M | — | ✓ apache-2.0 | 242 K | 2.4 GB |
| 436 | cryptobert | 120 M | 512 | ✓ mit | 241 K | 1.1 GB |
| 437 | gliner_large-v2 | 460 M | — | ✓ apache-2.0 | 240 K | 2.6 GB |
| 438 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 239 K | 9.5 GB |
| 439 | s1-mini-GGUF | — | — | other | 239 K | 1.0 GB |
| 440 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 238 K | 1.7 GB |
| 441 | gemma-3-270m | 270 M | — | ⚠ gemma | 238 K | 1.1 GB |
| 442 | SmolLM-135M-Instruct-FP32 | 135 M | 2 K | unknown | 238 K | 1.1 GB |
| 443 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 236 K | 3.0 GB |
| 444 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 236 K | 0.9 GB |
| 445 | rtdetr_r50vd | 40 M | — | ✓ apache-2.0 | 234 K | 0.7 GB |
| 446 | roberta-large-mnli | 360 M | 512 | ✓ mit | 234 K | 2.1 GB |
| 447 | Llama-3.2-3B-Instruct-FP8-dynamic | 3.6 B | 131 K | ⚠ llama3.2 | 233 K | 5.9 GB |
| 448 | granite-3.3-2b-instruct | 2.5 B | 131 K | ✓ apache-2.0 | 233 K | 6.5 GB |
| 449 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 231 K | 0.6 GB |
| 450 | t5-large | 740 M | — | ✓ apache-2.0 | 230 K | 3.9 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.