1,011 models · refreshed nightly
All models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 51 | speaker-diarization-community-1 | — | — | ✓ cc-by-4.0 | 5.3 M | — |
| 52 | nomic-embed-text-v1 | 140 M | 8 K | ✓ apache-2.0 | 5.1 M | from 1.1 GB |
| 53 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 4.9 M | from 6.7 GB |
| 54 | Ornith-1.0-9B-GGUF | — | — | ✓ mit | 4.9 M | from 6.7 GB |
| 55 | mxbai-embed-large-v1 | 340 M | 512 | ✓ apache-2.0 | 4.9 M | from 1.3 GB |
| 56 | Qwen3-VL-8B-Instruct | 8.8 B | — | ✓ apache-2.0 | 4.9 M | from 21.1 GB |
| 57 | whisper-base | 70 M | — | ✓ apache-2.0 | 4.8 M | from 0.8 GB |
| 58 | gemma-4-31B-it-FP8-block | 31.3 B | — | ✓ apache-2.0 | 4.8 M | from 41.8 GB |
| 59 | bge-small-zh-v1.5 | 20 M | 512 | ✓ mit | 4.8 M | from 0.6 GB |
| 60 | gemma-3-1b-it | 1.0 B | — | ⚠ gemma | 4.7 M | from 2.8 GB |
| 61 | Qwen3-Coder-30B-A3B-Instruct-GGUF | — | — | ✓ apache-2.0 | 4.7 M | from 12.9 GB |
| 62 | vit-base-patch16-224 | 90 M | — | ✓ apache-2.0 | 4.7 M | from 0.9 GB |
| 63 | OTel-LLM-E4B-IT | — | — | ✓ apache-2.0 | 4.7 M | — |
| 64 | wav2vec2-large-xlsr-53-portuguese | — | — | ✓ apache-2.0 | 4.6 M | — |
| 65 | Qwen2.5-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 4.6 M | from 7.8 GB |
| 66 | dolphin-2.9.1-yi-1.5-34b | 34.4 B | 8 K | ✓ apache-2.0 | 4.6 M | from 81.3 GB |
| 67 | Qwen3-4B | 4.0 B | 41 K | ✓ apache-2.0 | 4.6 M | from 10.0 GB |
| 68 | bge-reranker-base | 280 M | 512 | ✓ mit | 4.6 M | from 1.8 GB |
| 69 | Prompt-Guard-86M | 280 M | — | ⚠ llama3.1 | 4.5 M | from 1.8 GB |
| 70 | Qwen3-ASR-0.6B | 940 M | — | ✓ apache-2.0 | 4.3 M | from 2.7 GB |
| 71 | gpt-oss-120b | 120.4 B | 131 K | ✓ apache-2.0 | 4.2 M | from 162.1 GB |
| 72 | granite-4.1-8b | 8.8 B | 131 K | ✓ apache-2.0 | 4.2 M | from 21.2 GB |
| 73 | wav2vec2-large-xlsr-53-russian | — | — | ✓ apache-2.0 | 4.0 M | — |
| 74 | Qwen3-VL-4B-Instruct | 4.4 B | — | ✓ apache-2.0 | 4.0 M | from 10.9 GB |
| 75 | granite-embedding-small-english-r2 | 50 M | 8 K | ✓ apache-2.0 | 3.8 M | from 0.6 GB |
| 76 | GLM-OCR | 1.3 B | — | ✓ mit | 3.8 M | from 3.6 GB |
| 77 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 3.8 M | from 23.8 GB |
| 78 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 3.8 M | from 23.8 GB |
| 79 | gemma-4-26B-A4B-it-AWQ-4bit | 26.6 B | — | ✓ apache-2.0 | 3.7 M | from 23.4 GB |
| 80 | distilbert-base-uncased-finetuned-sst-2-english | 70 M | 512 | ✓ apache-2.0 | 3.7 M | from 0.8 GB |
| 81 | all-MiniLM-L12-v2 | 30 M | 512 | ✓ apache-2.0 | 3.5 M | from 0.7 GB |
| 82 | Qwen3.6-27B-NVFP4 | 21.2 B | — | ✓ apache-2.0 | 3.4 M | from 29.4 GB |
| 83 | Qwen3-Embedding-4B | 4.0 B | 41 K | ✓ apache-2.0 | 3.4 M | from 10.0 GB |
| 84 | Qwen2.5-14B-Instruct | 14.8 B | 33 K | ✓ apache-2.0 | 3.3 M | from 35.2 GB |
| 85 | Qwen3-Embedding-8B | 7.6 B | 41 K | ✓ apache-2.0 | 3.3 M | from 18.3 GB |
| 86 | OTel-2.0-LLM-31B-IT | 32.1 B | 262 K | ✓ apache-2.0 | 3.3 M | from 76.0 GB |
| 87 | jina-embeddings-v3 | 570 M | 8 K | ✗ cc-by-nc-4.0 | 3.2 M | from 1.8 GB |
| 88 | Qwen3-4B-Instruct-2507 | 4.0 B | 262 K | ✓ apache-2.0 | 3.2 M | from 10.0 GB |
| 89 | Qwen3-VL-8B-Instruct-FP8 | 8.8 B | — | ✓ apache-2.0 | 3.2 M | from 13.5 GB |
| 90 | fairface_age_image_detection | 90 M | — | ✓ apache-2.0 | 3.2 M | from 2.4 GB |
| 91 | Qwen2-1.5B-Instruct | 1.5 B | 33 K | ✓ apache-2.0 | 3.2 M | from 4.1 GB |
| 92 | chandra-ocr-2 | 5.3 B | — | ⚠ openrail | 3.2 M | from 12.9 GB |
| 93 | llava-1.5-7b-hf | 7.1 B | — | ⚠ llama2 | 3.1 M | from 17.1 GB |
| 94 | indonesian-roberta-base-posp-tagger | 120 M | 512 | ✓ mit | 3.1 M | from 1.1 GB |
| 95 | Qwen3.5-0.8B | 870 M | — | ✓ apache-2.0 | 3.1 M | from 2.6 GB |
| 96 | Qwen3-30B-A3B | 30.5 B | 41 K | ✓ apache-2.0 | 3.1 M | from 72.3 GB |
| 97 | Qwen2-VL-2B-Instruct | 2.2 B | 33 K | ✓ apache-2.0 | 3.0 M | from 5.7 GB |
| 98 | Qwen2.5-Coder-14B-Instruct | 14.8 B | 33 K | ✓ apache-2.0 | 3.0 M | from 35.2 GB |
| 99 | all-MiniLM-L6-v2 | — | 512 | ✓ apache-2.0 | 2.9 M | — |
| 100 | koelectra-small-v3-nsmc | 10 M | 512 | ✓ mit | 2.9 M | from 0.6 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.