1,011 models · refreshed nightly
Models that run on 2 × 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 2 × 24 GB |
|---|---|---|---|---|---|---|
| 301 | NVIDIA-Nemotron-3-Nano-4B-BF16 | 4.0 B | 262 K | other | 739 K | 9.8 GB |
| 302 | Qwen2.5-32B-Instruct-AWQ | 32.8 B | 33 K | ✓ apache-2.0 | 738 K | 26.7 GB |
| 303 | bert-base-multilingual-uncased-sentiment | 170 M | 512 | ✓ mit | 735 K | 1.3 GB |
| 304 | Qwen2.5-Coder-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 728 K | 4.1 GB |
| 305 | Qwen3-4B-Base | 4.0 B | 33 K | ✓ apache-2.0 | 722 K | 10.0 GB |
| 306 | sd-turbo | 870 M | — | unknown | 722 K | 14.9 GB |
| 307 | BiRefNet | 220 M | — | ✓ mit | 715 K | 1.0 GB |
| 308 | RMBG-2.0 | 220 M | — | other | 702 K | 1.5 GB |
| 309 | gemma-4-31B-it-NVFP4-turbo | 32.5 B | — | ✓ apache-2.0 | 702 K | 26.6 GB |
| 310 | bert-large-cased-finetuned-conll03-english | 330 M | 512 | unknown | 699 K | 2.0 GB |
| 311 | VibeVoice-ASR | 8.7 B | — | ✓ mit | 695 K | 20.9 GB |
| 312 | ruri-v3-310m | 310 M | 8 K | ✓ apache-2.0 | 695 K | 1.9 GB |
| 313 | nb-wav2vec2-1b-nynorsk | 960 M | — | ✓ apache-2.0 | 693 K | 4.9 GB |
| 314 | turn-detector | 130 M | 8 K | other | 690 K | 1.1 GB |
| 315 | vit_tiny_patch16_224.augreg_in21k_ft_in1k | 10 M | — | ✓ apache-2.0 | 689 K | 0.5 GB |
| 316 | xlm-roberta-base-language-detection | 280 M | 512 | ✓ mit | 687 K | 1.8 GB |
| 317 | Mistral-7B-v0.1 | 7.2 B | 33 K | ✓ apache-2.0 | 679 K | 17.5 GB |
| 318 | vit_base_patch8_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 679 K | 0.9 GB |
| 319 | phi-4 | 14.7 B | 16 K | ✓ mit | 671 K | 34.9 GB |
| 320 | repvgg_a0.rvgg_in1k | 10 M | — | ✓ mit | 669 K | 0.5 GB |
| 321 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 660 K | 0.9 GB |
| 322 | VibeVoice-Realtime-0.5B | 1.0 B | — | ✓ mit | 657 K | 2.9 GB |
| 323 | Qwen3-32B-AWQ | 32.8 B | 41 K | ✓ apache-2.0 | 651 K | 26.7 GB |
| 324 | bloom-560m | 560 M | — | ⚠ bigscience-bloom-rail-1.0 | 628 K | 1.8 GB |
| 325 | wav2vec2-large-xlsr-53-gender-recognition-librispeech | 320 M | — | ✓ apache-2.0 | 626 K | 1.9 GB |
| 326 | mask2former-swin-large-ade-semantic | 220 M | — | other | 625 K | 1.5 GB |
| 327 | DeepSeek-R1-Distill-Qwen-1.5B | 1.8 B | 131 K | ✓ mit | 619 K | 4.7 GB |
| 328 | OLMo-2-0425-1B | 1.5 B | 4 K | ✓ apache-2.0 | 618 K | 7.3 GB |
| 329 | NVIDIA-Nemotron-3-Nano-30B-A3B-FP8 | 31.6 B | 262 K | other | 613 K | 41.2 GB |
| 330 | parakeet-tdt-0.6b-v3-gguf | — | — | ✓ cc-by-4.0 | 606 K | 1.0 GB |
| 331 | Qwen2-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 606 K | 18.4 GB |
| 332 | Qwen2.5-Coder-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 604 K | 7.9 GB |
| 333 | cryptobert | 120 M | 512 | ✓ mit | 602 K | 1.1 GB |
| 334 | VLM2Vec-Full | 4.2 B | 131 K | ✓ apache-2.0 | 599 K | 10.2 GB |
| 335 | deepseek-coder-7b-instruct-v1.5 | 6.9 B | 4 K | other | 599 K | 16.7 GB |
| 336 | nsfw_image_detector | 90 M | — | ✓ mit | 591 K | 0.7 GB |
| 337 | Qwen3-30B-A3B-Instruct-2507-FP8 | 30.5 B | 262 K | ✓ apache-2.0 | 588 K | 39.4 GB |
| 338 | LFM2.5-1.2B-Instruct | 1.2 B | 128 K | other | 584 K | 3.3 GB |
| 339 | snowflake-arctic-embed-s | 30 M | 512 | ✓ apache-2.0 | 584 K | 0.7 GB |
| 340 | Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit | 5.3 B | 262 K | ✓ apache-2.0 | 583 K | 21.2 GB |
| 341 | nb-wav2vec2-1b-bokmaal-v2 | 960 M | — | ✓ apache-2.0 | 581 K | 4.9 GB |
| 342 | Qwen3-Reranker-4B-W4A16-G128 | 4.1 B | 41 K | ✓ apache-2.0 | 578 K | 4.0 GB |
| 343 | encodec_24khz | 20 M | — | unknown | 577 K | 0.6 GB |
| 344 | gemma-2-2b-it | 2.6 B | — | ⚠ gemma | 576 K | 6.6 GB |
| 345 | sentence-bert-base-ja-mean-tokens-v2 | 110 M | 512 | cc-by-sa-4.0 | 575 K | 1.0 GB |
| 346 | Qwen3-TTS-12Hz-1.7B-VoiceDesign | 1.9 B | — | ✓ apache-2.0 | 574 K | 5.8 GB |
| 347 | Phi-4-multimodal-instruct | 5.6 B | 131 K | ✓ mit | 572 K | 15.4 GB |
| 348 | gpt2-medium | 380 M | — | ✓ mit | 572 K | 2.2 GB |
| 349 | wav2vec2-xls-r-parlaspeech-hr | 320 M | — | unknown | 564 K | 1.9 GB |
| 350 | gpt-oss-20b-GGUF | — | 131 K | ✓ apache-2.0 | 560 K | 13.1 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.