1,011 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 | Nemotron-3-Embed-1B-BF16 | 1.1 B | 262 K | other | 456 K | 3.2 GB |
| 352 | Phi-4-mini-instruct | 3.8 B | 131 K | ✓ mit | 455 K | 9.5 GB |
| 353 | Bangla-twoclass-Sentiment-Analyzer | 280 M | 512 | ✓ mit | 454 K | 1.8 GB |
| 354 | paraphrase-MiniLM-L12-v2 | 30 M | 512 | ✓ apache-2.0 | 454 K | 0.7 GB |
| 355 | S-PubMedBert-MedQuAD | 110 M | 512 | ✓ mit | 453 K | 1.0 GB |
| 356 | Ternary-Bonsai-27B-mlx-2bit | 2.6 B | — | ✓ apache-2.0 | 453 K | 10.2 GB |
| 357 | Qwen3-8B-Base | 8.2 B | 33 K | ✓ apache-2.0 | 451 K | 19.7 GB |
| 358 | Qwen2.5-3B-Instruct-unsloth-bnb-4bit | 3.2 B | 33 K | ✓ apache-2.0 | 449 K | 3.6 GB |
| 359 | stable-diffusion-v1-4 | 860 M | — | ⚠ creativeml-openrail-m | 447 K | 13.5 GB |
| 360 | Qwen3-TTS-12Hz-0.6B-Base | 910 M | — | ✓ apache-2.0 | 445 K | 3.4 GB |
| 361 | Qwen3Guard-Gen-4B | 4.4 B | 33 K | ✓ apache-2.0 | 440 K | 10.9 GB |
| 362 | Nemotron-Labs-Diffusion-8B-Base | 8.5 B | 4 K | other | 434 K | 20.5 GB |
| 363 | Olmo-3-7B-Instruct | 7.3 B | 66 K | ✓ apache-2.0 | 434 K | 17.7 GB |
| 364 | vit_tiny_r_s16_p8_224.augreg_in21k | 10 M | — | ✓ apache-2.0 | 432 K | 0.5 GB |
| 365 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 431 K | 7.5 GB |
| 366 | Voxtral-Mini-4B-Realtime-2602-gguf | — | — | ✓ apache-2.0 | 430 K | 3.6 GB |
| 367 | Zamba2-1.2B-instruct | 1.2 B | 4 K | ✓ apache-2.0 | 429 K | 6.0 GB |
| 368 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 429 K | 19.3 GB |
| 369 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 428 K | 1.3 GB |
| 370 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 423 K | 2.1 GB |
| 371 | saiga_llama3_8b | 8.0 B | 8 K | other | 423 K | 19.4 GB |
| 372 | gemma-2-9b-it | 9.2 B | — | ⚠ gemma | 417 K | 22.2 GB |
| 373 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 416 K | 0.9 GB |
| 374 | bert-small-pii-detection | 30 M | 512 | ✓ apache-2.0 | 416 K | 0.6 GB |
| 375 | granite-speech-4.1-2b | 2.3 B | — | ✓ apache-2.0 | 415 K | 6.2 GB |
| 376 | Qwen3-14B-FP8 | 14.8 B | 41 K | ✓ apache-2.0 | 412 K | 20.7 GB |
| 377 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 410 K | 19.4 GB |
| 378 | Qwen3-ForcedAligner-0.6B | 920 M | — | ✓ apache-2.0 | 407 K | 2.7 GB |
| 379 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 406 K | 13.7 GB |
| 380 | audiobox-aesthetics | 100 M | — | ✓ cc-by-4.0 | 401 K | 1.0 GB |
| 381 | multilingual-sentiment-analysis | 140 M | 512 | ✗ cc-by-nc-4.0 | 399 K | 1.1 GB |
| 382 | DeepSeek-R1-Distill-Llama-8B | 8.0 B | 131 K | ✓ mit | 395 K | 19.4 GB |
| 383 | EXAONE-3.5-7.8B-Instruct-AWQ | 7.8 B | 33 K | other | 389 K | 7.5 GB |
| 384 | wav2vec2-large-xlsr-kazakh | 320 M | — | ✓ apache-2.0 | 386 K | 1.9 GB |
| 385 | Ilama-3.2-1B | 1.2 B | 131 K | unknown | 381 K | 6.1 GB |
| 386 | mistral-7b-v0.3-bnb-4bit | 7.5 B | 33 K | ✓ apache-2.0 | 380 K | 6.2 GB |
| 387 | MOSS-TTS | 8.5 B | — | ✓ apache-2.0 | 375 K | 20.5 GB |
| 388 | convnext_femto.d1_in1k | 10 M | — | ✓ apache-2.0 | 375 K | 0.5 GB |
| 389 | higgs-tts-3-4b | 4.7 B | — | other | 374 K | 11.4 GB |
| 390 | gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF | — | — | ✓ apache-2.0 | 373 K | 1.4 GB |
| 391 | VieNeu-TTS-v3-Turbo | 130 M | 1 K | ✓ apache-2.0 | 370 K | 1.1 GB |
| 392 | s2-pro | 4.6 B | — | other | 368 K | 11.2 GB |
| 393 | Fanar-1-9B-Instruct | 8.8 B | 4 K | ✓ apache-2.0 | 364 K | 21.1 GB |
| 394 | whisper-medium | 760 M | — | ✓ apache-2.0 | 364 K | 4.0 GB |
| 395 | segformer-b0-finetuned-ade-512-512 | 0 M | — | other | 364 K | 0.5 GB |
| 396 | Apertus-8B-Instruct-2509 | 8.1 B | 66 K | ✓ apache-2.0 | 361 K | 19.4 GB |
| 397 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 356 K | 16.3 GB |
| 398 | gpt-oss-20b-MXFP4-Q8 | 20.9 B | 131 K | ✓ apache-2.0 | 355 K | 16.9 GB |
| 399 | gpt-neo-125m | 150 M | 2 K | ✓ mit | 350 K | 1.1 GB |
| 400 | gemma-3-270m-it | 270 M | — | ⚠ gemma | 346 K | 1.1 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.