1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
All models
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 | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | all-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 177.6 M | from 0.6 GB |
| 02 | whisperkit-coreml | — | — | ✓ mit | 51.6 M | — |
| 03 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 47.6 M | from 0.7 GB |
| 04 | gpt2 | 140 M | — | ✓ mit | 31.8 M | from 1.1 GB |
| 05 | bge-m3 | — | 8 K | ✓ mit | 29.6 M | — |
| 06 | paraphrase-multilingual-MiniLM-L12-v2 | 120 M | 512 | ✓ apache-2.0 | 27.1 M | from 1.0 GB |
| 07 | t5-small | 60 M | — | ✓ apache-2.0 | 21.6 M | from 0.8 GB |
| 08 | Qwen3-0.6B | 750 M | 41 K | ✓ apache-2.0 | 20.7 M | from 2.3 GB |
| 09 | all-mpnet-base-v2 | 110 M | 512 | ✓ apache-2.0 | 20.5 M | from 1.0 GB |
| 10 | wav2vec2-large-xlsr-53-japanese | — | — | ✓ apache-2.0 | 16.2 M | — |
| 11 | vit-base-patch16-224 | 90 M | — | ✓ apache-2.0 | 15.0 M | from 0.9 GB |
| 12 | bge-reranker-v2-m3 | 570 M | 8 K | ✓ apache-2.0 | 14.8 M | from 3.1 GB |
| 13 | Qwen3-14B | 14.8 B | 41 K | ✓ apache-2.0 | 12.9 M | from 35.2 GB |
| 14 | mobilenetv3_small_100.lamb_in1k | 2.6 M | — | ✓ apache-2.0 | 12.7 M | from 0.5 GB |
| 15 | Kokoro-82M | 82 M | — | ✓ apache-2.0 | 12.5 M | from 0.7 GB |
| 16 | nomic-embed-text-v1.5 | 140 M | 2 K | ✓ apache-2.0 | 11.9 M | from 1.1 GB |
| 17 | Florence-2-base | 230 M | — | ✓ mit | 11.7 M | from 1.0 GB |
| 18 | Qwen-Image-2.1 | 7.1 B | — | other | 10.2 M | from 136.7 GB |
| 19 | multilingual-e5-small | 120 M | 512 | ✓ mit | 9.4 M | from 1.0 GB |
| 20 | Qwen3-Embedding-0.6B | 600 M | 33 K | ✓ apache-2.0 | 9.1 M | from 1.9 GB |
| 21 | paraphrase-multilingual-mpnet-base-v2 | 280 M | 512 | ✓ apache-2.0 | 9.1 M | from 1.8 GB |
| 22 | audio.cpp-gguf | — | — | other | 8.9 M | from 1.6 GB |
| 23 | bge-base-en-v1.5 | 110 M | 512 | ✓ mit | 8.3 M | from 1.0 GB |
| 24 | bge-large-en-v1.5 | 340 M | 512 | ✓ mit | 8.2 M | from 2.0 GB |
| 25 | Gender-Classifier-Mini | 93 M | — | ✓ apache-2.0 | 8.1 M | from 1.7 GB |
| 26 | DeepSeek-V3.2 | 685.4 B | 164 K | ✓ mit | 7.6 M | from 861.7 GB |
| 27 | Qwen3.8-27B | 27.8 B | — | ✓ apache-2.0 | 7.5 M | from 65.8 GB |
| 28 | clap-htsat-fused | 150 M | — | ✓ apache-2.0 | 7.3 M | from 1.2 GB |
| 29 | multilingual-e5-large | 560 M | 512 | ✓ mit | 7.1 M | from 3.0 GB |
| 30 | Qwen3-VL-8B-Instruct | 8.8 B | — | ✓ apache-2.0 | 7.1 M | from 21.1 GB |
| 31 | gemma-4-31B-it | 32.7 B | — | ✓ apache-2.0 | 7.1 M | from 74.2 GB |
| 32 | granite-embedding-small-english-r2 | 50 M | 8 K | ✓ apache-2.0 | 6.9 M | from 0.6 GB |
| 33 | Qwen3.8-Flash-Next-GSQ-RCO-GGUF | 180.0 B | — | ✓ apache-2.0 | 6.8 M | from 28.5 GB |
| 34 | Qwen3-8B | 8.2 B | 41 K | ✓ apache-2.0 | 6.8 M | from 19.7 GB |
| 35 | speaker-diarization-3.1 | — | — | ✓ mit | 6.7 M | — |
| 36 | GLM-5.3-Flash | 321.3 B | — | ✓ mit | 6.4 M | from 409.9 GB |
| 37 | Qwen3.5-9B | 9.7 B | — | ✓ apache-2.0 | 6.4 M | from 23.2 GB |
| 38 | Qwen2.5-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 6.0 M | from 18.4 GB |
| 39 | Qwen2.5-VL-7B-Instruct | 8.3 B | 128 K | ✓ apache-2.0 | 6.0 M | from 20.0 GB |
| 40 | gpt-oss-20b | 21.5 B | 131 K | ✓ apache-2.0 | 5.8 M | from 34.0 GB |
| 41 | Ornith-1.5-9B-GGUF | — | — | ✓ mit | 5.8 M | from 6.9 GB |
| 42 | faster-whisper-small | — | — | ✓ mit | 5.7 M | — |
| 43 | XTTS-v2 | — | — | other | 5.7 M | — |
| 44 | gemma-4-26B-A4B-it | 26.5 B | — | ✓ apache-2.0 | 5.5 M | from 61.3 GB |
| 45 | Unlimited-OCR | 3.3 B | 33 K | ✓ mit | 5.4 M | from 15.7 GB |
| 46 | Qwen3.8-27B-FP8 | 27.8 B | — | ✓ apache-2.0 | 5.3 M | from 38.6 GB |
| 47 | Qwen3.5-4B | 4.7 B | — | ✓ apache-2.0 | 5.3 M | from 11.5 GB |
| 48 | whisper-large-v3-turbo | 810 M | — | ✓ mit | 5.2 M | from 2.4 GB |
| 49 | speaker-diarization-community-1 | — | — | ✓ cc-by-4.0 | 5.1 M | — |
| 50 | Qwen2.5-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 5.0 M | from 4.1 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.