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 |
|---|---|---|---|---|---|---|
| 51 | bge-base-en-v1.5-course-recommender-v5 | 110 M | 512 | unknown | 2.9 M | 1.0 GB |
| 52 | t5-base | 220 M | — | ✓ apache-2.0 | 2.8 M | 1.5 GB |
| 53 | parakeet-tdt-0.6b-v3 | 630 M | — | ✓ cc-by-4.0 | 2.7 M | 3.4 GB |
| 54 | bge-base-en | 110 M | 512 | ✓ mit | 2.7 M | 1.0 GB |
| 55 | Qwen2.5-3B-Instruct | 3.1 B | 33 K | other | 2.6 M | 7.8 GB |
| 56 | Qwen3-4B-Instruct-2507 | 4.0 B | 262 K | ✓ apache-2.0 | 2.6 M | 10.0 GB |
| 57 | SmolLM2-135M | 130 M | 8 K | ✓ apache-2.0 | 2.5 M | 0.8 GB |
| 58 | bge-base-en-v1.5 | 110 M | 512 | ✓ mit | 2.5 M | 0.8 GB |
| 59 | Qwen-Image-2.1-Uncensored-Quantized | 7.1 B | — | other | 2.5 M | 6.1 GB |
| 60 | Qwen3-Embedding-4B | 4.0 B | 41 K | ✓ apache-2.0 | 2.5 M | 10.0 GB |
| 61 | all-distilroberta-v1 | 80 M | 512 | ✓ apache-2.0 | 2.5 M | 0.9 GB |
| 62 | Qwen3.8-27B-Uncensored-GGUF | — | — | ✓ apache-2.0 | 2.5 M | 1.5 GB |
| 63 | gemma-4-12b-it-GGUF | 12.0 B | — | ✓ apache-2.0 | 2.5 M | 7.9 GB |
| 64 | all-MiniLM-L12-v2 | 30 M | 512 | ✓ apache-2.0 | 2.5 M | 0.7 GB |
| 65 | mms-300m-1130-forced-aligner | 320 M | — | ✗ cc-by-nc-4.0 | 2.4 M | 1.9 GB |
| 66 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 2.4 M | 6.7 GB |
| 67 | bge-reranker-base | 280 M | 512 | ✓ mit | 2.4 M | 1.8 GB |
| 68 | wav2vec2-large-robust-24-ft-age-gender | 320 M | — | ✗ cc-by-nc-sa-4.0 | 2.4 M | 1.9 GB |
| 69 | parakeet-unified-en-0.6b-gguf | 600 M | — | other | 2.4 M | 1.1 GB |
| 70 | gte-small | 30 M | 512 | ✓ mit | 2.3 M | 0.6 GB |
| 71 | moondream2 | 1.9 B | — | ✓ apache-2.0 | 2.3 M | 5.0 GB |
| 72 | mxbai-embed-large-v1 | 340 M | 512 | ✓ apache-2.0 | 2.3 M | 1.3 GB |
| 73 | Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF | — | — | ✓ apache-2.0 | 2.2 M | 1.5 GB |
| 74 | Qwen-Image-2.1-Uncensored-GGUF | 7.1 B | — | other | 2.2 M | 6.1 GB |
| 75 | Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 2.1 M | 5.6 GB |
| 76 | Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF | 9.0 B | — | ✓ apache-2.0 | 2.1 M | 7.3 GB |
| 77 | VieNeu-TTS-v3-Turbo | 131 M | 1 K | ✓ apache-2.0 | 2.1 M | 0.7 GB |
| 78 | nemotron-3.5-asr-streaming-0.6b-gguf | 600 M | — | other | 2.0 M | 1.1 GB |
| 79 | bge-reranker-large | 560 M | 512 | ✓ mit | 2.0 M | 3.0 GB |
| 80 | gemma-4-26B-A4B-it-GGUF | — | — | ✓ apache-2.0 | 2.0 M | 11.4 GB |
| 81 | GLM-OCR | 1.3 B | — | ✓ mit | 2.0 M | 3.6 GB |
| 82 | DeepSeek-OCR | 3.3 B | 8 K | ✓ mit | 2.0 M | 8.3 GB |
| 83 | resnet18.a1_in1k | 10 M | — | ✓ apache-2.0 | 2.0 M | 0.6 GB |
| 84 | gte-large-en-v1.5 | 430 M | 8 K | ✓ apache-2.0 | 1.9 M | 2.5 GB |
| 85 | ast-finetuned-audioset-10-10-0.4593 | 90 M | — | ✓ bsd-3-clause | 1.9 M | 0.9 GB |
| 86 | Qwen3-VL-8B-Instruct-GGUF | 8.0 B | — | ✓ apache-2.0 | 1.9 M | 7.2 GB |
| 87 | NVIDIA-Nemotron-3-Nano-4B-BF16 | 4.0 B | 262 K | other | 1.9 M | 9.8 GB |
| 88 | paraphrase-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 1.9 M | 1.0 GB |
| 89 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.8 M | 5.2 GB |
| 90 | wav2vec2-base-960h | 90 M | — | ✓ apache-2.0 | 1.8 M | 0.9 GB |
| 91 | SmolVLM2-500M-Video-Instruct | 510 M | — | ✓ apache-2.0 | 1.8 M | 2.8 GB |
| 92 | multilingual-e5-large-instruct | 560 M | 512 | ✓ mit | 1.7 M | 1.8 GB |
| 93 | Qwen2.5-VL-3B-Instruct | 3.8 B | 128 K | unknown | 1.7 M | 9.3 GB |
| 94 | Qwen3-ASR-1.7B | 2.4 B | — | ✓ apache-2.0 | 1.7 M | 6.0 GB |
| 95 | Prompt-Guard-86M | 280 M | — | ⚠ llama3.1 | 1.7 M | 1.8 GB |
| 96 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.7 M | 1.1 GB |
| 97 | resnet50.a1_in1k | 30 M | — | ✓ apache-2.0 | 1.6 M | 0.6 GB |
| 98 | Qwen2.5-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 1.6 M | 7.8 GB |
| 99 | Ternary-Bonsai-2-27B-gguf | 27.0 B | — | ✓ apache-2.0 | 1.6 M | 5.2 GB |
| 100 | Qwen3.6-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 1.6 M | 11.6 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.