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.
| # | Model | Params | Context | Commercial use | 30d | On RTX 4070 · 16 GB |
|---|---|---|---|---|---|---|
| 451 | waiIllustriousSDXL_v170 | — | — | cdla-permissive-2.0 | 259 K | 8.1 GB |
| 452 | rubert-tiny-toxicity | 10 M | 512 | ✓ mit | 258 K | 0.6 GB |
| 453 | LFM2.5-1.2B-Instruct-GGUF | 1.2 B | 128 K | other | 257 K | 1.4 GB |
| 454 | Kwaipilot_KAT-Coder-V2.5-Dev-GGUF | — | — | ✓ apache-2.0 | 257 K | 11.3 GB |
| 455 | RMBG-1.4 | 40 M | — | other | 256 K | 0.7 GB |
| 456 | Llama-3.2-3B-Instruct-GGUF | — | 131 K | ⚠ llama3.2 | 253 K | 2.0 GB |
| 457 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 251 K | 7.5 GB |
| 458 | Spark-X2.5-1.7B-GGUF | 1.7 B | — | ✓ apache-2.0 | 251 K | 2.0 GB |
| 459 | Ling-3.0-tiny-GGUF | — | 131 K | ✓ mit | 248 K | 2.4 GB |
| 460 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 247 K | 3.4 GB |
| 461 | FLUX.1-dev-gguf | — | — | other | 247 K | 4.9 GB |
| 462 | xlm-roberta-large-ner-hrl | 560 M | 512 | ✓ afl-3.0 | 246 K | 3.0 GB |
| 463 | indictrans2-en-indic-dist-200M | 275 M | — | ✓ mit | 244 K | 1.7 GB |
| 464 | h2ovl-mississippi-800m | 830 M | — | ✓ apache-2.0 | 242 K | 2.4 GB |
| 465 | cryptobert | 120 M | 512 | ✓ mit | 241 K | 1.1 GB |
| 466 | gliner_large-v2 | 460 M | — | ✓ apache-2.0 | 240 K | 2.6 GB |
| 467 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 240 K | 12.1 GB |
| 468 | Phi-3-mini-128k-instruct | 3.8 B | 131 K | ✓ mit | 239 K | 9.5 GB |
| 469 | s1-mini-GGUF | — | — | other | 239 K | 1.0 GB |
| 470 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 238 K | 1.7 GB |
| 471 | gemma-3-270m | 270 M | — | ⚠ gemma | 238 K | 1.1 GB |
| 472 | SmolLM-135M-Instruct-FP32 | 135 M | 2 K | unknown | 238 K | 1.1 GB |
| 473 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 236 K | 3.0 GB |
| 474 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 236 K | 0.9 GB |
| 475 | rtdetr_r50vd | 40 M | — | ✓ apache-2.0 | 234 K | 0.7 GB |
| 476 | roberta-large-mnli | 360 M | 512 | ✓ mit | 234 K | 2.1 GB |
| 477 | Llama-3.2-3B-Instruct-FP8-dynamic | 3.6 B | 131 K | ⚠ llama3.2 | 233 K | 5.9 GB |
| 478 | granite-3.3-2b-instruct | 2.5 B | 131 K | ✓ apache-2.0 | 233 K | 6.5 GB |
| 479 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 231 K | 0.6 GB |
| 480 | t5-3b | 2.9 B | — | ✓ apache-2.0 | 230 K | 13.5 GB |
| 481 | t5-large | 740 M | — | ✓ apache-2.0 | 230 K | 3.9 GB |
| 482 | h2ovl-mississippi-2b | 2.2 B | — | ✓ apache-2.0 | 230 K | 5.6 GB |
| 483 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 229 K | 3.5 GB |
| 484 | h2o-danube3-500m-chat | 514 M | 8 K | ✓ apache-2.0 | 229 K | 1.7 GB |
| 485 | Llama-3.1-8B-Instruct-4bit | 1.3 B | 131 K | ⚠ llama3.1 | 228 K | 5.7 GB |
| 486 | ftrobertallm | 355 M | 512 | ✓ mit | 225 K | 2.1 GB |
| 487 | prompt-saturation-attack-detector | 4.4 M | 512 | unknown | 225 K | 0.5 GB |
| 488 | Qwen3-8B-FP8 | 8.2 B | 41 K | ✓ apache-2.0 | 225 K | 12.1 GB |
| 489 | Z-Image-GGUF | 6.2 B | — | ✓ apache-2.0 | 224 K | 4.0 GB |
| 490 | TinyStories-1M | 1.0 M | 2 K | unknown | 224 K | 0.5 GB |
| 491 | OpenMed-NER-BloodCancerDetect-TinyMed-65M | 65 M | 512 | ✓ apache-2.0 | 222 K | 0.7 GB |
| 492 | OpenMed-NER-ChemicalDetect-ModernMed-149M | 150 M | 8 K | ✓ apache-2.0 | 222 K | 0.9 GB |
| 493 | long-t5-tglobal-base-sci-simplify | 248 M | — | ✓ apache-2.0 | 221 K | 1.6 GB |
| 494 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 220 K | 1.8 GB |
| 495 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 220 K | 1.3 GB |
| 496 | OpenMed-NER-PharmaDetect-BigMed-278M | 278 M | 512 | ✓ apache-2.0 | 219 K | 1.2 GB |
| 497 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 218 K | 5.8 GB |
| 498 | Ornith-1.5-9B-MLX-6bit | 9.0 B | — | unknown | 218 K | 9.8 GB |
| 499 | SmolLM2-360M-Instruct | 360 M | 8 K | ✓ apache-2.0 | 218 K | 1.4 GB |
| 500 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 216 K | 13.7 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.