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 |
|---|---|---|---|---|---|---|
| 51 | Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF | 35.0 B | — | ✓ apache-2.0 | 4.9 M | from 20.3 GB |
| 52 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 4.9 M | from 6.7 GB |
| 53 | multilingual-e5-base | 280 M | 512 | ✓ mit | 4.9 M | from 1.8 GB |
| 54 | dolphin-2.9.1-yi-1.5-34b | 34.4 B | 8 K | ✓ apache-2.0 | 4.8 M | from 81.3 GB |
| 55 | opt-125m | 125 M | 2 K | other | 4.7 M | from 0.8 GB |
| 56 | roberta-base-go_emotions | 120 M | 512 | ✓ mit | 4.7 M | from 1.1 GB |
| 57 | stable-diffusion-xl-base-1.0 | 2.6 B | — | ⚠ openrail++ | 4.6 M | from 39.7 GB |
| 58 | whisper-base | 70 M | — | ✓ apache-2.0 | 4.6 M | from 0.8 GB |
| 59 | Qwen2.5-0.5B-Instruct | 490 M | 33 K | ✓ apache-2.0 | 4.5 M | from 1.7 GB |
| 60 | all-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 4.5 M | from 0.5 GB |
| 61 | Llama-3.1-8B-Instruct | 8.0 B | — | ⚠ llama3.1 | 4.5 M | from 19.4 GB |
| 62 | Krea-2 | 12.8 B | — | other | 4.5 M | from 183.2 GB |
| 63 | whisper-small | 240 M | — | ✓ apache-2.0 | 4.4 M | from 1.6 GB |
| 64 | Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF | 180.0 B | — | ✓ apache-2.0 | 4.2 M | from 28.5 GB |
| 65 | Qwen3.6-35B-A3B | 36.0 B | — | ✓ apache-2.0 | 4.2 M | from 85.0 GB |
| 66 | Ornith-1.5-35B-A3B-GGUF | — | — | ✓ mit | 4.2 M | from 24.4 GB |
| 67 | Qwen3-4B | 4.0 B | 41 K | ✓ apache-2.0 | 4.0 M | from 10.0 GB |
| 68 | Qwen3.6-35B-A3B-NVFP4 | 18.7 B | — | ✓ apache-2.0 | 4.0 M | from 29.1 GB |
| 69 | Qwen3.6-35B-A3B-FP8 | 36.0 B | — | ✓ apache-2.0 | 4.0 M | from 47.1 GB |
| 70 | Huihui-Qwen3.8-27B-abliterated-GGUF | 27.0 B | — | ✓ apache-2.0 | 3.9 M | from 16.5 GB |
| 71 | wav2vec2-large-xlsr-53-russian | — | — | ✓ apache-2.0 | 3.8 M | — |
| 72 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 3.8 M | from 23.8 GB |
| 73 | Qwen3-VL-4B-Instruct | 4.4 B | — | ✓ apache-2.0 | 3.7 M | from 10.9 GB |
| 74 | Qwen3.5-2B | 2.3 B | — | ✓ apache-2.0 | 3.7 M | from 5.8 GB |
| 75 | Qwen3-1.7B | 2.0 B | 41 K | ✓ apache-2.0 | 3.7 M | from 5.3 GB |
| 76 | tf_efficientnetv2_s.in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 3.6 M | from 0.6 GB |
| 77 | wav2vec2-large-xlsr-53-portuguese | — | — | ✓ apache-2.0 | 3.6 M | — |
| 78 | indonesian-roberta-base-posp-tagger | 120 M | 512 | ✓ mit | 3.6 M | from 1.1 GB |
| 79 | snowflake-arctic-embed-l-v2.0 | 570 M | 8 K | ✓ apache-2.0 | 3.6 M | from 3.1 GB |
| 80 | Qwen3.5-0.8B | 870 M | — | ✓ apache-2.0 | 3.5 M | from 2.6 GB |
| 81 | OmniVoice | 610 M | — | unknown | 3.5 M | from 4.2 GB |
| 82 | whisper-large-v3 | 1.5 B | — | ✓ apache-2.0 | 3.5 M | from 10.9 GB |
| 83 | pythia-160m | 210 M | 2 K | ✓ apache-2.0 | 3.5 M | from 0.9 GB |
| 84 | Qwen3.8-Flash-Next | 180.0 B | — | other | 3.5 M | from 423.5 GB |
| 85 | Bangla-twoclass-Sentiment-Analyzer | 280 M | 512 | ✓ mit | 3.4 M | from 1.8 GB |
| 86 | DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF | 763.2 B | — | ✓ mit | 3.3 M | from 116.1 GB |
| 87 | Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF | — | — | ✓ apache-2.0 | 3.3 M | from 19.3 GB |
| 88 | finbert | 110 M | 512 | ✗ cc-by-nc-sa-4.0 | 3.3 M | from 1.0 GB |
| 89 | OTel-2.0-Decision-26B-A4B-4bit | 25.8 B | — | ✓ apache-2.0 | 3.2 M | from 22.8 GB |
| 90 | bge-small-zh-v1.5 | 20 M | 512 | ✓ mit | 3.1 M | from 0.6 GB |
| 91 | Tiel-Coder-35B-A3B-GGUF-MTP | 35.0 B | — | ✓ mit | 3.1 M | from 19.7 GB |
| 92 | Qwen3.8-27B-MLX-4bit | 4.7 B | — | ✓ apache-2.0 | 3.0 M | from 18.9 GB |
| 93 | Qwen3-32B | 32.8 B | 41 K | ✓ apache-2.0 | 3.0 M | from 77.5 GB |
| 94 | distilbert-base-uncased-finetuned-sst-2-english | 70 M | 512 | ✓ apache-2.0 | 2.9 M | from 0.8 GB |
| 95 | bge-base-en-v1.5-course-recommender-v5 | 110 M | 512 | unknown | 2.9 M | from 1.0 GB |
| 96 | Qwen3.8-27B-MLX-8bit | 8.0 B | — | ✓ apache-2.0 | 2.9 M | from 34.2 GB |
| 97 | Qwen3.8-27B-MLX-6bit | 6.4 B | — | ✓ apache-2.0 | 2.9 M | from 26.5 GB |
| 98 | Qwen3.8-27B-MLX-5bit | 5.5 B | — | ✓ apache-2.0 | 2.9 M | from 22.7 GB |
| 99 | Ornith-1.0-35B | <0.1 M | — | ✓ mit | 2.8 M | from 77.7 GB |
| 100 | t5-base | 220 M | — | ✓ apache-2.0 | 2.8 M | from 1.5 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.