1,023 models · refreshed nightly
All models
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 | Min VRAM |
|---|---|---|---|---|---|---|
| 551 | vakyansh-wav2vec2-sanskrit-sam-60 | — | — | unknown | 450 K | — |
| 552 | Bielik-11B-v3.0-Instruct | 11.2 B | — | ✓ apache-2.0 | 450 K | from 26.7 GB |
| 553 | BioLORD-2023 | 110 M | 512 | other | 446 K | from 1.0 GB |
| 554 | Qwen3-4B-AWQ | 4.0 B | 41 K | ✓ apache-2.0 | 445 K | from 4.0 GB |
| 555 | Qwen3-30B-A3B-abliterated | 30.5 B | 41 K | ✓ apache-2.0 | 445 K | from 206.6 GB |
| 556 | S-PubMedBert-MedQuAD | 110 M | 512 | ✓ mit | 444 K | from 1.0 GB |
| 557 | vram-16 | — | — | unknown | 444 K | from 0.5 GB |
| 558 | DeepSeek-R1-Distill-Llama-70B | 70.6 B | 131 K | ✓ mit | 443 K | from 166.3 GB |
| 559 | Bangla-twoclass-Sentiment-Analyzer | 280 M | 512 | ✓ mit | 443 K | from 1.8 GB |
| 560 | Hy3-GGUF | — | — | ✓ apache-2.0 | 443 K | from 101.4 GB |
| 561 | Phi-4-mini-instruct | 3.8 B | 131 K | ✓ mit | 442 K | from 9.5 GB |
| 562 | wav2vec2-xlsr-53-espeak-cv-ft | — | — | ✓ apache-2.0 | 442 K | — |
| 563 | bge-m3-spa-law-qa | 570 M | — | ✓ apache-2.0 | 440 K | from 3.1 GB |
| 564 | e5-mistral-7b-instruct | 7.1 B | 33 K | ✓ mit | 439 K | from 17.2 GB |
| 565 | nli-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 439 K | from 1.0 GB |
| 566 | stable-diffusion-v1-4 | 860 M | — | ⚠ creativeml-openrail-m | 438 K | from 13.5 GB |
| 567 | opus-mt-de-en | — | 512 | ✓ apache-2.0 | 438 K | — |
| 568 | Qwen3-TTS-12Hz-0.6B-Base | 910 M | — | ✓ apache-2.0 | 435 K | from 3.4 GB |
| 569 | GetphatFLUXRealityNSFW | — | — | unknown | 434 K | from 26.7 GB |
| 570 | gemma-2-9b-it | 9.2 B | — | ⚠ gemma | 434 K | from 22.2 GB |
| 571 | Qwen3-8B-Base | 8.2 B | 33 K | ✓ apache-2.0 | 433 K | from 19.7 GB |
| 572 | xlnet-base-cased | — | — | ✓ mit | 430 K | — |
| 573 | Qwen2.5-72B-Instruct | 72.7 B | 33 K | other | 429 K | from 171.4 GB |
| 574 | Olmo-3-7B-Instruct | 7.3 B | 66 K | ✓ apache-2.0 | 429 K | from 17.7 GB |
| 575 | Qwen2.5-3B-Instruct-unsloth-bnb-4bit | 3.2 B | 33 K | ✓ apache-2.0 | 428 K | from 3.6 GB |
| 576 | wav2vec2-large-xlsr-53-estonian | — | — | ✓ apache-2.0 | 426 K | — |
| 577 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 426 K | from 1.3 GB |
| 578 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 425 K | from 13.7 GB |
| 579 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 425 K | from 19.3 GB |
| 580 | Nemotron-Labs-Diffusion-8B-Base | 8.5 B | 4 K | other | 424 K | from 20.5 GB |
| 581 | Qwen-Image-Lightning | — | — | ✓ apache-2.0 | 424 K | from 72.6 GB |
| 582 | vit_tiny_r_s16_p8_224.augreg_in21k | 10 M | — | ✓ apache-2.0 | 423 K | from 0.5 GB |
| 583 | Llama-3.3-70B-Instruct | 70.6 B | — | ⚠ llama3.3 | 421 K | from 166.3 GB |
| 584 | koelectra-polite-v1 | — | 512 | unknown | 420 K | — |
| 585 | swinv2-tiny-patch4-window16-256 | — | — | ✓ apache-2.0 | 419 K | — |
| 586 | Qwen2.5-14B-Instruct | 14.8 B | 33 K | ✓ apache-2.0 | 416 K | from 35.2 GB |
| 587 | Voxtral-Mini-4B-Realtime-2602-gguf | — | — | ✓ apache-2.0 | 416 K | from 3.6 GB |
| 588 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 414 K | from 16.3 GB |
| 589 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 412 K | from 2.1 GB |
| 590 | wav2vec2-large-960h-lv60-self | — | — | ✓ apache-2.0 | 412 K | — |
| 591 | Laguna-S-2.1-NVFP4 | 117.6 B | 1.0 M | openmdw-1.1 | 412 K | from 127.8 GB |
| 592 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 411 K | from 7.5 GB |
| 593 | saiga_llama3_8b | 8.0 B | 8 K | other | 411 K | from 19.4 GB |
| 594 | granite-speech-4.1-2b | 2.3 B | — | ✓ apache-2.0 | 409 K | from 6.2 GB |
| 595 | Zamba2-1.2B-instruct | 1.2 B | 4 K | ✓ apache-2.0 | 408 K | from 6.0 GB |
| 596 | audiobox-aesthetics | 100 M | — | ✓ cc-by-4.0 | 407 K | from 1.0 GB |
| 597 | reverb-diarization-v1 | — | — | other | 406 K | — |
| 598 | Qwen3-14B-FP8 | 14.8 B | 41 K | ✓ apache-2.0 | 406 K | from 20.7 GB |
| 599 | GLM-4.5-Air | 110.5 B | 131 K | ✓ mit | 406 K | from 260.1 GB |
| 600 | Qwen3-ForcedAligner-0.6B | 920 M | — | ✓ apache-2.0 | 404 K | from 2.7 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.