1,000 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 |
|---|---|---|---|---|---|---|
| 651 | Phi-3.5-mini-instruct | 3.8 B | 131 K | ✓ mit | 341 K | from 9.5 GB |
| 652 | DeepSeek-R1-Distill-Qwen-14B | 14.8 B | 131 K | ✓ mit | 340 K | from 35.2 GB |
| 653 | Hy3-GGUF | — | — | ✓ apache-2.0 | 340 K | from 101.4 GB |
| 654 | sd-turbo | 870 M | — | unknown | 339 K | from 14.9 GB |
| 655 | Qwen2.5-3B | 3.1 B | 33 K | other | 338 K | from 7.8 GB |
| 656 | Qwopus3.6-27B-Fusion-GGUF | — | — | other | 337 K | from 15.4 GB |
| 657 | nsfw_image_detector | 90 M | — | ✓ mit | 334 K | from 0.7 GB |
| 658 | Dolphin-Mistral-24B-Venice-Edition | 24.0 B | — | ✓ apache-2.0 | 333 K | from 56.9 GB |
| 659 | distilroberta-finetuned-financial-news-sentiment-analysis | 80 M | 512 | ✓ apache-2.0 | 330 K | from 0.9 GB |
| 660 | Qwen3.8-27B-DSpark | 1.9 B | 262 K | other | 329 K | from 4.9 GB |
| 661 | Qwen3-Coder-30B-A3B-Instruct-AWQ | 30.5 B | 262 K | ✓ apache-2.0 | 329 K | from 23.6 GB |
| 662 | GigaChat3.1-Audio-10B-A1.8B | — | — | ✓ mit | 329 K | from 26.6 GB |
| 663 | t5-3b | 2.9 B | — | ✓ apache-2.0 | 326 K | from 13.5 GB |
| 664 | LFM2.5-1.2B-Instruct-GGUF | — | — | other | 325 K | from 1.3 GB |
| 665 | MiniCPM5-1B-Claude-Opus-Fable5-Thinking-GGUF | — | — | ✓ apache-2.0 | 325 K | from 1.3 GB |
| 666 | MiniMax-M2.5 | 228.7 B | 197 K | other | 324 K | from 288.0 GB |
| 667 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 324 K | from 2.1 GB |
| 668 | playground-v2.5-1024px-aesthetic | 2.6 B | — | other | 321 K | from 46.7 GB |
| 669 | Meta-Llama-3.1-8B-Instruct-GGUF | — | — | ⚠ llama3.1 | 320 K | from 3.7 GB |
| 670 | Qwen3-Next-80B-A3B-Instruct | 81.3 B | 262 K | ✓ apache-2.0 | 319 K | from 191.6 GB |
| 671 | Qwen3.6-27B-MTP-pi-tune-GGUF | — | — | ✓ apache-2.0 | 319 K | from 12.5 GB |
| 672 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 318 K | from 4.1 GB |
| 673 | gpt2-medium | 380 M | — | ✓ mit | 317 K | from 2.2 GB |
| 674 | xflux_text_encoders | 4.8 B | — | ✓ apache-2.0 | 317 K | from 11.7 GB |
| 675 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 317 K | from 19.4 GB |
| 676 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 316 K | from 16.3 GB |
| 677 | table-transformer-structure-recognition-v1.1-all | 30 M | — | ✓ mit | 314 K | from 0.6 GB |
| 678 | The_GuageLLM_23M | 20 M | — | ✓ apache-2.0 | 314 K | from 0.6 GB |
| 679 | rubert-tiny-toxicity | 10 M | 512 | ✓ mit | 313 K | from 0.6 GB |
| 680 | phishing-email-detection-distilbert_v2.4.1 | 70 M | 512 | ✓ apache-2.0 | 309 K | from 0.8 GB |
| 681 | Qwen-Image | 20.4 B | — | ✓ apache-2.0 | 308 K | from 67.0 GB |
| 682 | opt-350m | 350 M | 2 K | other | 308 K | from 1.3 GB |
| 683 | llmlingua-2-bert-base-multilingual-cased-meetingbank | 180 M | 512 | ✓ apache-2.0 | 307 K | from 1.3 GB |
| 684 | gpt-j-6b | 6.0 B | — | ✓ apache-2.0 | 304 K | from 14.6 GB |
| 685 | sarvam-30b | 32.2 B | 131 K | ✓ apache-2.0 | 304 K | from 146.8 GB |
| 686 | DeepSeek-V2-Lite | 15.7 B | 164 K | other | 304 K | from 37.4 GB |
| 687 | SmolLM2-360M-Instruct | 360 M | 8 K | ✓ apache-2.0 | 303 K | from 1.4 GB |
| 688 | Qwen2-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 302 K | from 1.7 GB |
| 689 | prokbert-mini-promoter | 20 M | 1 K | ✗ cc-by-nc-4.0 | 302 K | from 0.6 GB |
| 690 | supergemma4-26b-uncensored-gguf-v2 | — | — | ⚠ gemma | 301 K | from 19.0 GB |
| 691 | Olmo-3-7B-Instruct | 7.3 B | 66 K | ✓ apache-2.0 | 300 K | from 17.7 GB |
| 692 | HunyuanDiT-v1.1-Diffusers-Distilled | 1.5 B | — | other | 298 K | from 16.7 GB |
| 693 | Qwen2.5-14B-bnb-4bit | 15.2 B | 131 K | ✓ apache-2.0 | 298 K | from 13.7 GB |
| 694 | Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | — | — | ✓ apache-2.0 | 297 K | from 2.5 GB |
| 695 | Qwopus-GLM-18B-Merged-GGUF | — | — | ✓ apache-2.0 | 295 K | from 9.2 GB |
| 696 | Qwen3-0.6B-GGUF | — | — | unknown | 295 K | from 0.9 GB |
| 697 | mask2former-swin-large-ade-semantic | 220 M | — | other | 295 K | from 1.5 GB |
| 698 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 293 K | from 5.8 GB |
| 699 | Qwen2.5-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 292 K | from 18.4 GB |
| 700 | deepseek-coder-6.7b-instruct | 6.7 B | 16 K | other | 292 K | from 16.3 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.