1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on RTX 4090 · 24 GB
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On RTX 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 551 | Z-Image-GGUF | 6.2 B | — | ✓ apache-2.0 | 224 K | 4.0 GB |
| 552 | TinyStories-1M | 1.0 M | 2 K | unknown | 224 K | 0.5 GB |
| 553 | OpenMed-NER-BloodCancerDetect-TinyMed-65M | 65 M | 512 | ✓ apache-2.0 | 222 K | 0.7 GB |
| 554 | OpenMed-NER-ChemicalDetect-ModernMed-149M | 150 M | 8 K | ✓ apache-2.0 | 222 K | 0.9 GB |
| 555 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 221 K | 19.3 GB |
| 556 | long-t5-tglobal-base-sci-simplify | 248 M | — | ✓ apache-2.0 | 221 K | 1.6 GB |
| 557 | Olmo-3-7B-Instruct-SFT | 7.3 B | 66 K | ✓ apache-2.0 | 220 K | 17.7 GB |
| 558 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 220 K | 1.8 GB |
| 559 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 220 K | 1.3 GB |
| 560 | OpenMed-NER-PharmaDetect-BigMed-278M | 278 M | 512 | ✓ apache-2.0 | 219 K | 1.2 GB |
| 561 | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | 1.3 B | 131 K | ✓ mit | 218 K | 5.8 GB |
| 562 | Llama-3.1-Nemotron-Nano-8B-v1 | 8.0 B | 131 K | other | 218 K | 19.4 GB |
| 563 | Ornith-1.5-9B-MLX-6bit | 9.0 B | — | unknown | 218 K | 9.8 GB |
| 564 | SmolLM2-360M-Instruct | 360 M | 8 K | ✓ apache-2.0 | 218 K | 1.4 GB |
| 565 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 216 K | 13.7 GB |
| 566 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 216 K | 12.6 GB |
| 567 | TinyLLama-v0 | <0.1 M | 2 K | ✓ apache-2.0 | 215 K | 0.5 GB |
| 568 | qwen3-4b-base-dapo-v4 | 4.0 B | 33 K | ✓ apache-2.0 | 215 K | 10.0 GB |
| 569 | Realistic_Vision_V5.1_noVAE | 860 M | — | ⚠ creativeml-openrail-m | 215 K | 19.4 GB |
| 570 | OpenMed-NER-DiseaseDetect-BioMed-335M | 334 M | 512 | ✓ apache-2.0 | 214 K | 1.3 GB |
| 571 | SmolLM3-3B-Base | 3.1 B | 66 K | ✓ apache-2.0 | 213 K | 7.7 GB |
| 572 | Parable-Qwen3-4B-Claude-Fable-5-GGUF | 4.0 B | 41 K | ✓ apache-2.0 | 213 K | 3.8 GB |
| 573 | Parable-Qwen3-8B-Claude-Fable-5-GGUF | 8.0 B | 41 K | ✓ apache-2.0 | 212 K | 7.2 GB |
| 574 | resnet-50 | 30 M | — | ✓ apache-2.0 | 212 K | 0.6 GB |
| 575 | MiniCPM5-2B-MLX | 2.5 B | 131 K | ✓ apache-2.0 | 212 K | 2.4 GB |
| 576 | wildguard | 7.3 B | — | ✓ apache-2.0 | 211 K | 17.5 GB |
| 577 | Qwen3Guard-Gen-0.6B | 750 M | 33 K | ✓ apache-2.0 | 211 K | 2.3 GB |
| 578 | Llama-2-7b-hf | 6.7 B | — | ⚠ llama2 | 211 K | 16.3 GB |
| 579 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 208 K | 6.2 GB |
| 580 | Qwen3-30B-A3B-GPTQ-Int4 | 30.5 B | 41 K | ✓ apache-2.0 | 208 K | 23.7 GB |
| 581 | MuQ-large-msd-iter | 330 M | — | ✗ cc-by-nc-4.0 | 208 K | 2.0 GB |
| 582 | Bielik-11B-v3.0-Instruct-awq | 11.3 B | 33 K | ✓ apache-2.0 | 208 K | 9.0 GB |
| 583 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 208 K | 1.4 GB |
| 584 | Mistral-7B-Instruct-v0.3-AWQ | 7.3 B | 33 K | ✓ apache-2.0 | 208 K | 6.2 GB |
| 585 | The_GuageLLM_23M | 20 M | — | ✓ apache-2.0 | 207 K | 0.6 GB |
| 586 | Bonsai-27B-gguf | — | — | ✓ apache-2.0 | 207 K | 1.2 GB |
| 587 | Qwen3Guard-Gen-4B | 4.4 B | 33 K | ✓ apache-2.0 | 207 K | 10.9 GB |
| 588 | Qwen2.5-Coder-1.5B-Instruct-GGUF | 1.5 B | 33 K | ✓ apache-2.0 | 206 K | 1.6 GB |
| 589 | gemma-3-1b-it | 1.0 B | — | ⚠ gemma | 206 K | 2.8 GB |
| 590 | Mistral-7B-Instruct-v0.2-AWQ | 7.2 B | 33 K | ✓ apache-2.0 | 205 K | 6.2 GB |
| 591 | Nemotron-Labs-Diffusion-8B | 8.5 B | 262 K | other | 204 K | 20.6 GB |
| 592 | granite-guardian-3.3-8b | 8.2 B | 131 K | ✓ apache-2.0 | 204 K | 19.7 GB |
| 593 | Qwen2.5-3B | 3.1 B | 33 K | other | 203 K | 7.8 GB |
| 594 | medgemma-27b-text-it-GPTQ | 4.8 B | 131 K | other | 202 K | 18.8 GB |
| 595 | LFM2.5-1.2B-Instruct | 1.2 B | 128 K | other | 201 K | 3.3 GB |
| 596 | Yi-Coder-9B-Chat-GGUF | — | — | unknown | 201 K | 2.7 GB |
| 597 | OLMoE-1B-7B-0125-Instruct | 6.9 B | 4 K | ✓ apache-2.0 | 201 K | 16.8 GB |
| 598 | gemma-7b | 8.5 B | — | ⚠ gemma | 200 K | 20.6 GB |
| 599 | Qwen_Qwen3-Next-80B-A3B-Thinking-GGUF | — | — | ✓ apache-2.0 | 200 K | 18.7 GB |
| 600 | glm-4-9b-chat-IMat-GGUF | — | — | other | 200 K | 3.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.