1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on RTX 3060 · 12 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 3060 · 12 GB |
|---|---|---|---|---|---|---|
| 501 | TinyLlama-1.1B-Chat-v0.3-GPTQ | 1.1 B | 2 K | ✓ apache-2.0 | 195 K | 1.5 GB |
| 502 | EuroLLM-1.7B-Instruct | 1.7 B | 4 K | ✓ apache-2.0 | 194 K | 4.4 GB |
| 503 | Qwen2.5-Coder-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 192 K | 8.9 GB |
| 504 | Llama-3.2-3B-Instruct-GGUF | — | — | ⚠ llama3.2 | 191 K | 2.3 GB |
| 505 | Qwen3.8-27B-DSpark | 1.9 B | 262 K | other | 190 K | 4.9 GB |
| 506 | DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | 2.3 B | 131 K | ✓ mit | 189 K | 10.4 GB |
| 507 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 189 K | 8.5 GB |
| 508 | gemma-3-1b-it-GGUF | 1.0 B | — | ⚠ gemma | 187 K | 1.5 GB |
| 509 | LFM2.5-2.6B-GGUF | 2.6 B | 131 K | other | 187 K | 2.6 GB |
| 510 | Qwen3.6-14B-A3B-FableVibes-GGUF | — | — | ✓ apache-2.0 | 187 K | 6.4 GB |
| 511 | opt-350m | 350 M | 2 K | other | 185 K | 1.3 GB |
| 512 | Qwen_Qwen3-0.6B-GGUF | 600 M | 41 K | unknown | 185 K | 1.0 GB |
| 513 | Qwen-Image-2.1-viggle-turbo | 7.1 B | — | other | 183 K | 6.3 GB |
| 514 | FLUX.2-klein-4B-GGUF | — | — | ✓ apache-2.0 | 182 K | 3.2 GB |
| 515 | phi-2 | 2.8 B | 2 K | ✓ mit | 178 K | 7.0 GB |
| 516 | Qwen3-1.7B-GGUF | 1.7 B | 41 K | ✓ apache-2.0 | 176 K | 2.8 GB |
| 517 | Qwen3.8-4B-Distill | 4.7 B | — | ✓ apache-2.0 | 175 K | 11.5 GB |
| 518 | Ternary-Bonsai-8B-gguf | — | — | ✓ apache-2.0 | 174 K | 2.9 GB |
| 519 | MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF | — | — | ✓ apache-2.0 | 168 K | 1.8 GB |
| 520 | gpt2-medium | 380 M | — | ✓ mit | 166 K | 2.2 GB |
| 521 | Qwen3-0.6B-GGUF | 600 M | 41 K | ✓ apache-2.0 | 165 K | 0.9 GB |
| 522 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 165 K | 4.9 GB |
| 523 | Qwen2-0.5B | 490 M | 131 K | ✓ apache-2.0 | 165 K | 1.7 GB |
| 524 | stable-diffusion-v1-1 | — | — | ⚠ creativeml-openrail-m | 165 K | 3.5 GB |
| 525 | LFM2.5-350M-GGUF | 350 M | 128 K | other | 165 K | 0.8 GB |
| 526 | Parable-Granite-4.1-3B-Claude-Fable-5-GGUF | 3.0 B | 131 K | ✓ apache-2.0 | 163 K | 3.3 GB |
| 527 | Parable-Granite-4.1-8B-Claude-Fable-5-GGUF | 8.0 B | 131 K | ✓ apache-2.0 | 162 K | 7.3 GB |
| 528 | Qwen3-8B-GGUF | — | 41 K | ✓ apache-2.0 | 162 K | 4.1 GB |
| 529 | Qwen1.5-1.8B-Chat | 1.8 B | 33 K | other | 161 K | 4.8 GB |
| 530 | LFM2.5-350M | 355 M | 128 K | other | 161 K | 1.3 GB |
| 531 | DeepSeek-R1-0528-Qwen3-8B-GGUF | 8.0 B | 131 K | ✓ mit | 161 K | 5.3 GB |
| 532 | Bonsai-1.7B-gguf | 1.7 B | — | ✓ apache-2.0 | 157 K | 1.0 GB |
| 533 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 156 K | 10.4 GB |
| 534 | transformer-1.3B-100B | 1.4 B | 2 K | ✓ mit | 153 K | 3.7 GB |
| 535 | Qwen3-4B-Instruct-2507-unsloth-bnb-4bit | 4.0 B | 262 K | ✓ apache-2.0 | 151 K | 5.0 GB |
| 536 | Qwen2.5-Math-1.5B-Instruct | 1.5 B | 4 K | ✓ apache-2.0 | 149 K | 4.1 GB |
| 537 | Qwen3.8-27B-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 149 K | 5.6 GB |
| 538 | madlad400-3b-mt | 2.9 B | — | ✓ apache-2.0 | 148 K | 2.8 GB |
| 539 | Qwen2.5-14B-Instruct-GGUF | 14.0 B | 33 K | ✓ apache-2.0 | 147 K | 8.5 GB |
| 540 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 145 K | 0.9 GB |
| 541 | Granite-4.2-3B-BE-GGUF | 3.0 B | — | ✓ apache-2.0 | 144 K | 2.6 GB |
| 542 | DeepSeek-R1-Distill-Qwen-7B-GGUF | 7.0 B | 131 K | unknown | 139 K | 4.6 GB |
| 543 | typhoon2.5-qwen3-4b | 4.0 B | 262 K | ✓ apache-2.0 | 139 K | 10.0 GB |
| 544 | JevK5 | 4.2 B | 262 K | ✓ apache-2.0 | 138 K | 10.4 GB |
| 545 | needle3 | — | 8 K | ✓ apache-2.0 | 136 K | 0.8 GB |
| 546 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 136 K | 1.8 GB |
| 547 | P-Q-Image-2.1 | 7.1 B | — | other | 134 K | 3.8 GB |
| 548 | MOSS-Image-SFT-GGUF | — | — | ✓ apache-2.0 | 134 K | 3.6 GB |
| 549 | NVIDIA-Nemotron-3.5-Bolt-E4B-4GB | 4.0 B | — | other | 132 K | 7.9 GB |
| 550 | Llama-3.2-1B-Instruct-GGUF | — | — | ⚠ llama3.2 | 132 K | 1.2 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.