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 |
|---|---|---|---|---|---|---|
| 601 | VLM2Vec-Full | 4.2 B | 131 K | ✓ apache-2.0 | 199 K | 10.2 GB |
| 602 | Qwen2.5-7B-Instruct-1M | 7.6 B | 1.0 M | ✓ apache-2.0 | 197 K | 18.4 GB |
| 603 | Olmo-3-7B-Think | 7.3 B | 66 K | ✓ apache-2.0 | 197 K | 17.7 GB |
| 604 | gemma-4-12b-heretic-abliterated-GGUF | — | — | ✓ apache-2.0 | 196 K | 0.7 GB |
| 605 | Olmo-3-7B-Instruct | 7.3 B | 66 K | ✓ apache-2.0 | 196 K | 17.7 GB |
| 606 | Qwen2.5-Coder-32B-Instruct-GGUF | — | — | ✓ apache-2.0 | 196 K | 9.1 GB |
| 607 | llama-3-8b-instruct-awq | 8.0 B | 8 K | unknown | 196 K | 8.0 GB |
| 608 | Fanar-1-9B-Instruct | 8.8 B | 4 K | ✓ apache-2.0 | 195 K | 21.1 GB |
| 609 | Qwen2.5-3B-Instruct-unsloth-bnb-4bit | 3.2 B | 33 K | ✓ apache-2.0 | 195 K | 3.6 GB |
| 610 | Qwen3-1.7B-GGUF | 1.7 B | 41 K | ✓ apache-2.0 | 195 K | 1.6 GB |
| 611 | gpt-oss-120b-Eagle3-short-context | 787 M | 131 K | other | 195 K | 2.8 GB |
| 612 | Qwen2.5-1.5B-Instruct-AWQ | 1.8 B | 33 K | ✓ apache-2.0 | 195 K | 2.5 GB |
| 613 | Llama-Guard-3-8B | 8.0 B | — | ⚠ llama3.1 | 195 K | 19.4 GB |
| 614 | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-DSpark | 760 M | 1.0 M | other | 195 K | 2.1 GB |
| 615 | TinyLlama-1.1B-Chat-v0.3-GPTQ | 1.1 B | 2 K | ✓ apache-2.0 | 195 K | 1.5 GB |
| 616 | Illustrious-xl-early-release-v0 | 2.6 B | — | other | 194 K | 23.8 GB |
| 617 | Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | — | — | ✓ apache-2.0 | 194 K | 23.8 GB |
| 618 | EuroLLM-1.7B-Instruct | 1.7 B | 4 K | ✓ apache-2.0 | 194 K | 4.4 GB |
| 619 | supergemma4-26b-uncensored-gguf-v2 | — | — | ⚠ gemma | 194 K | 19.0 GB |
| 620 | gemma-2-2b | 2.6 B | — | ⚠ gemma | 193 K | 12.4 GB |
| 621 | Qwen2.5-Coder-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 192 K | 8.9 GB |
| 622 | Llama-3.2-3B-Instruct-GGUF | — | — | ⚠ llama3.2 | 191 K | 2.3 GB |
| 623 | Qwen3.8-27B-DSpark | 1.9 B | 262 K | other | 190 K | 4.9 GB |
| 624 | NVIDIA-Nemotron-Nano-9B-v2-FP8 | 8.9 B | 131 K | other | 190 K | 13.1 GB |
| 625 | Qwen3-14B-unsloth-bnb-4bit | 15.2 B | 41 K | ✓ apache-2.0 | 190 K | 15.0 GB |
| 626 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 189 K | 10.4 GB |
| 627 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 189 K | 8.5 GB |
| 628 | gemma-3-1b-it-GGUF | 1.0 B | — | ⚠ gemma | 187 K | 1.5 GB |
| 629 | LFM2.5-2.6B-GGUF | 2.6 B | 131 K | other | 187 K | 2.6 GB |
| 630 | Qwen3.6-14B-A3B-FableVibes-GGUF | — | — | ✓ apache-2.0 | 187 K | 6.4 GB |
| 631 | opt-350m | 350 M | 2 K | other | 185 K | 1.3 GB |
| 632 | Qwen_Qwen3-0.6B-GGUF | 600 M | 41 K | unknown | 185 K | 1.0 GB |
| 633 | Qwen-Image-2.1-viggle-turbo | 7.1 B | — | other | 183 K | 6.3 GB |
| 634 | FLUX.2-klein-4B-GGUF | — | — | ✓ apache-2.0 | 182 K | 3.2 GB |
| 635 | phi-2 | 2.8 B | 2 K | ✓ mit | 178 K | 7.0 GB |
| 636 | Qwen3-1.7B-GGUF | 1.7 B | 41 K | ✓ apache-2.0 | 176 K | 2.8 GB |
| 637 | Qwen3.8-4B-Distill | 4.7 B | — | ✓ apache-2.0 | 175 K | 11.5 GB |
| 638 | Ternary-Bonsai-8B-gguf | — | — | ✓ apache-2.0 | 174 K | 2.9 GB |
| 639 | Underdog-Saluki-27B-1.0-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 173 K | 13.7 GB |
| 640 | t5gemma-2b-2b-ul2-it | 5.6 B | — | ⚠ gemma | 173 K | 13.7 GB |
| 641 | deepseek-coder-7b-instruct-v1.5 | 6.9 B | 4 K | other | 172 K | 16.7 GB |
| 642 | gpt-oss-20b-MXFP4-Q8 | 20.9 B | 131 K | ✓ apache-2.0 | 171 K | 16.9 GB |
| 643 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 169 K | 19.4 GB |
| 644 | Qwen-AgentWorld-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 169 K | 13.1 GB |
| 645 | Realistic_Vision_V6.0_B1_noVAE | — | — | ⚠ creativeml-openrail-m | 168 K | 14.6 GB |
| 646 | MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF | — | — | ✓ apache-2.0 | 168 K | 1.8 GB |
| 647 | gpt2-medium | 380 M | — | ✓ mit | 166 K | 2.2 GB |
| 648 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 165 K | 0.9 GB |
| 649 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 165 K | 4.9 GB |
| 650 | Qwen2-0.5B | 490 M | 131 K | ✓ apache-2.0 | 165 K | 1.7 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.