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Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

Task
All text-generation 410 text-to-image 153 ASR 92 image-text-to-text 89 sentence-similarity 61 feature-extraction 47 translation 47 text-classification 42 image-classification 34 token-classification 27 text-to-speech 12 audio-classification 11 object-detection 11 summarization 9 image-segmentation 9
Runs on
Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB
Licence
Size
$
1,054 models
#ModelParamsContextCommercial use30dMin VRAM
101 GLM-5.3-Flash zai-org · image-text-to-text 321.3 B — ✓ mit 2.9 M from 409.9 GB
102 whisper-small openai · ASR 240 M — ✓ apache-2.0 2.9 M from 1.6 GB
103 wav2vec2-large-xlsr-53-greek jonatasgrosman · ASR — — ✓ apache-2.0 2.9 M —
104 faster-whisper-small Systran · ASR — — ✓ mit 2.9 M —
105 Huihui-Qwen3.8-27B-abliterated-GGUF huihui-ai · image-text-to-text 27.0 B — ✓ apache-2.0 2.8 M from 16.5 GB
106 Ornith-1.0-35B deepreinforce-ai · text-generation <0.1 M — ✓ mit 2.8 M from 77.7 GB
107 bge-reranker-large BAAI · feature-extraction 560 M 512 ✓ mit 2.8 M from 3.0 GB
108 chandra-ocr-2 datalab-to · image-text-to-text 5.3 B — ⚠ openrail 2.7 M from 12.9 GB
109 all-distilroberta-v1 sentence-transformers · sentence-similarity 80 M 512 ✓ apache-2.0 2.7 M from 0.9 GB
110 mms-300m-1130-forced-aligner MahmoudAshraf · ASR 320 M — ✗ cc-by-nc-4.0 2.7 M from 1.9 GB
111 embeddinggemma-300m google · sentence-similarity · gated 300 M — ⚠ gemma 2.6 M from 1.9 GB
112 Qwen2.5-Coder-7B-Instruct Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 2.6 M from 18.4 GB
113 indonesian-roberta-base-posp-tagger w11wo · token-classification 120 M 512 ✓ mit 2.6 M from 1.1 GB
114 Qwen3-TTS-12Hz-1.7B-CustomVoice Qwen · text-to-speech 1.9 B — ✓ apache-2.0 2.6 M from 5.8 GB
115 Qwen3-Embedding-8B Qwen · feature-extraction 7.6 B 41 K ✓ apache-2.0 2.6 M from 18.3 GB
116 Qwen3-14B-AWQ Qwen · text-generation 14.8 B 41 K ✓ apache-2.0 2.6 M from 13.7 GB
117 Qwen3-VL-8B-Instruct-FP8 Qwen · image-text-to-text 8.8 B — ✓ apache-2.0 2.5 M from 13.5 GB
118 Qwen2.5-VL-3B-Instruct Qwen · image-text-to-text 3.8 B 128 K unknown 2.5 M from 9.3 GB
119 faster-whisper-tiny Systran · ASR — — ✓ mit 2.5 M —
120 bge-base-en-v1.5 Xenova · feature-extraction 110 M 512 ✓ mit 2.5 M from 0.8 GB
121 wav2vec2-large-robust-24-ft-age-gender audeering · audio-classification 320 M — ✗ cc-by-nc-sa-4.0 2.5 M from 1.9 GB
122 wav2vec2-large-xlsr-53-hungarian jonatasgrosman · ASR — — ✓ apache-2.0 2.5 M —
123 t5-base google-t5 · translation 220 M — ✓ apache-2.0 2.4 M from 1.5 GB
124 DeepSeek-V3.2 deepseek-ai · text-generation 685.4 B 164 K ✓ mit 2.4 M from 861.7 GB
125 bge-base-en BAAI · feature-extraction 110 M 512 ✓ mit 2.4 M from 1.0 GB
126 wav2vec2-large-xlsr-53-arabic jonatasgrosman · ASR — — ✓ apache-2.0 2.4 M —
127 Qwen3.5-0.8B Qwen · image-text-to-text 870 M — ✓ apache-2.0 2.4 M from 2.6 GB
128 mxbai-embed-large-v1 mixedbread-ai · feature-extraction 340 M 512 ✓ apache-2.0 2.4 M from 1.3 GB
129 Ornith-1.0-9B deepreinforce-ai · text-generation <0.1 M — ✓ mit 2.4 M from 21.2 GB
130 Qwen2.5-14B-Instruct Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 2.4 M from 35.2 GB
131 DeepSeek-OCR deepseek-ai · image-text-to-text 3.3 B 8 K ✓ mit 2.3 M from 8.3 GB
132 Qwen3-ASR-1.7B Qwen · ASR 2.4 B — ✓ apache-2.0 2.3 M from 6.0 GB
133 Qwen3.8-27B-Uncensored-GGUF JonathanColetti · text-generation — — ✓ apache-2.0 2.3 M from 1.5 GB
134 Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF HauhauCS · image-text-to-text — — ✓ apache-2.0 2.3 M from 1.5 GB
135 Qwen2.5-32B-Instruct Qwen · text-generation 32.8 B 33 K ✓ apache-2.0 2.2 M from 77.5 GB
136 Unlimited-OCR baidu · image-text-to-text 3.3 B 33 K ✓ mit 2.2 M from 8.3 GB
137 w2v-bert-2.0 facebook · feature-extraction 580 M — ✓ mit 2.2 M from 3.1 GB
138 Ornith-1.0-35B-GGUF ornith-ai · text-generation — — ✓ mit 2.1 M from 23.8 GB
139 Kimi-K3 moonshotai · image-text-to-text 2,779.9 B — other 2.1 M from 2,134.5 GB
140 Qwen3-Embedding-4B Qwen · feature-extraction 4.0 B 41 K ✓ apache-2.0 2.1 M from 10.0 GB
141 SmolLM2-135M HuggingFaceTB · text-generation 130 M 8 K ✓ apache-2.0 2.1 M from 0.8 GB
142 distilgpt2 distilbert · text-generation 90 M — ✓ apache-2.0 2.1 M from 0.9 GB
143 Qwen3.8-27B-NVFP4 RadixArk · image-text-to-text 18.2 B — ✓ apache-2.0 2.1 M from 27.3 GB
144 Qwen2.5-14B-Instruct-AWQ Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 2.1 M from 13.7 GB
145 Qwen2-VL-2B-Instruct Qwen · image-text-to-text 2.2 B 33 K ✓ apache-2.0 2.1 M from 5.7 GB
146 resnet18.a1_in1k timm · image-classification 10 M — ✓ apache-2.0 2.0 M from 0.6 GB
147 Ornith-1.0-35B ornith-ai · text-generation <0.1 M — ✓ mit 2.0 M from 77.7 GB
148 jina-embeddings-v3 jinaai · feature-extraction 570 M 8 K ✗ cc-by-nc-4.0 2.0 M from 1.8 GB
149 Qwen2.5-VL-7B-Instruct-AWQ Qwen · image-text-to-text 8.3 B 128 K ✓ apache-2.0 2.0 M from 9.4 GB
150 GLM-OCR zai-org · image-text-to-text 1.3 B — ✓ mit 2.0 M from 3.6 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.