1,058 models · refreshed nightly
Models that run on RTX 4090 · 24 GB
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On RTX 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 351 | Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 | 7.6 B | 33 K | ✓ apache-2.0 | 515 K | 7.8 GB |
| 352 | Realistic_Vision_V5.1_noVAE | 860 M | — | ⚠ creativeml-openrail-m | 509 K | 19.4 GB |
| 353 | open-vakgyata | 60 M | — | ✗ cc-by-nc-4.0 | 507 K | 0.8 GB |
| 354 | bloom-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 502 K | 1.8 GB |
| 355 | wav2vec2-xls-r-300m-sk-cv8 | 300 M | — | ✓ apache-2.0 | 502 K | 1.2 GB |
| 356 | lambda | — | — | unknown | 498 K | 0.5 GB |
| 357 | VibeVoice-1.5B | 2.7 B | — | ✓ mit | 497 K | 6.9 GB |
| 358 | snowflake-arctic-embed-s | 30 M | 512 | ✓ apache-2.0 | 496 K | 0.7 GB |
| 359 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 492 K | 0.9 GB |
| 360 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 492 K | 1.9 GB |
| 361 | resnet34.a1_in1k | 20 M | — | ✓ apache-2.0 | 492 K | 0.6 GB |
| 362 | sat-3l-sm | 210 M | 514 | ✓ mit | 491 K | 1.5 GB |
| 363 | cryptobert | 120 M | 512 | ✓ mit | 483 K | 1.1 GB |
| 364 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 483 K | 0.6 GB |
| 365 | gemma-4-12B-coder-fable5-composer2.5-v1-GGUF | — | — | ✓ apache-2.0 | 483 K | 5.8 GB |
| 366 | SmolLM2-360M | 360 M | 8 K | ✓ apache-2.0 | 481 K | 1.4 GB |
| 367 | snowflake-arctic-embed-l | 334 M | 512 | ✓ apache-2.0 | 480 K | 2.0 GB |
| 368 | Parable-Qwen3-4B-Claude-Fable-5-GGUF | — | — | ✓ apache-2.0 | 479 K | 3.2 GB |
| 369 | Qwen3-4B-GGUF | — | 41 K | ✓ apache-2.0 | 474 K | 2.3 GB |
| 370 | sentence-bert-base-ja-mean-tokens-v2 | 110 M | 512 | cc-by-sa-4.0 | 474 K | 1.0 GB |
| 371 | wav2vec2-large-xlsr-japanese-hiragana | 320 M | — | ✓ apache-2.0 | 472 K | 1.9 GB |
| 372 | Apertus-8B-Instruct-2509 | 8.1 B | 66 K | ✓ apache-2.0 | 472 K | 19.4 GB |
| 373 | wav2vec2-large-xls-r-300m-sinhala-low-LR-part1 | 320 M | — | unknown | 469 K | 1.9 GB |
| 374 | wav2vec2-large-xlsr-53-basque | 320 M | — | ✓ apache-2.0 | 468 K | 1.9 GB |
| 375 | msmarco-distilbert-base-tas-b | 66 M | 512 | ✓ apache-2.0 | 463 K | 0.8 GB |
| 376 | DeepSeek-Coder-V2-Lite-Instruct-GGUF | — | — | other | 461 K | 7.1 GB |
| 377 | pplx-embed-v1-0.6b | 600 M | 33 K | ✓ mit | 461 K | 3.2 GB |
| 378 | mimi | 100 M | 8 K | ✓ cc-by-4.0 | 458 K | 0.9 GB |
| 379 | MedCPT-Query-Encoder | 110 M | 512 | other | 454 K | 1.0 GB |
| 380 | vietnamese-bi-encoder | 130 M | 256 | ✓ apache-2.0 | 454 K | 1.1 GB |
| 381 | indic-conformer-600m-multilingual | 600 M | — | ✓ mit | 453 K | 1.9 GB |
| 382 | vit_base_patch16_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 450 K | 0.9 GB |
| 383 | gemma4-e4b-claims-comparison | 7.9 B | — | ⚠ gemma | 450 K | 19.2 GB |
| 384 | Qwen3-8B-Base | 8.2 B | 33 K | ✓ apache-2.0 | 447 K | 19.7 GB |
| 385 | Llama-2-7b-chat-hf | 6.7 B | — | ⚠ llama2 | 447 K | 16.3 GB |
| 386 | mask2former-swin-large-cityscapes-semantic | 220 M | — | other | 444 K | 1.5 GB |
| 387 | zeta-2.1-autoround-W4A16 | 2.2 B | 33 K | unknown | 444 K | 7.6 GB |
| 388 | msmarco-bert-base-dot-v5 | 110 M | 512 | unknown | 444 K | 1.0 GB |
| 389 | Voxtral-Mini-4B-Realtime-2602-gguf | — | — | ✓ apache-2.0 | 442 K | 3.6 GB |
| 390 | Bonsai-27B-gguf | — | — | ✓ apache-2.0 | 440 K | 1.2 GB |
| 391 | BioLORD-2023 | 110 M | 512 | other | 437 K | 1.0 GB |
| 392 | bge-small-en-v1.5 | 30 M | 512 | unknown | 433 K | 0.6 GB |
| 393 | DeepSeek-R1-Distill-Qwen-1.5B | 1.8 B | 131 K | ✓ mit | 431 K | 4.7 GB |
| 394 | vit_small_patch16_224.augreg_in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 430 K | 0.6 GB |
| 395 | bert-base-turkish-cased-mean-nli-stsb-tr | 110 M | 512 | ✓ apache-2.0 | 429 K | 1.0 GB |
| 396 | whisper-large-v3-turbo-german | 810 M | — | ✓ apache-2.0 | 428 K | 2.4 GB |
| 397 | Qwen3-4B-GGUF | — | — | ✓ apache-2.0 | 428 K | 3.2 GB |
| 398 | wav2vec2-large-mms-1b-azerbaijani-common_voice15.0 | 960 M | — | ✗ cc-by-nc-4.0 | 427 K | 4.9 GB |
| 399 | Qwen2.5-3B-Instruct-AWQ | 3.4 B | 33 K | other | 427 K | 4.0 GB |
| 400 | llama-nemotron-embed-1b-v2 | 1.2 B | 131 K | other | 425 K | 3.4 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.