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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 400 text-to-image 150 ASR 88 image-text-to-text 80 sentence-similarity 55 feature-extraction 45 translation 43 text-classification 39 image-classification 32 token-classification 21 text-to-speech 12 audio-classification 10 object-detection 10 image-segmentation 8 summarization 7
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
$
1,000 models
#ModelParamsContextCommercial use30dMin VRAM
151 locate-anything.cpp-gguf mudler · object-detection 3.8 B — other 1.9 M from 6.3 GB
152 moondream2 vikhyatk · image-text-to-text 1.9 B — ✓ apache-2.0 1.9 M from 5.0 GB
153 Qwen2.5-VL-7B-Instruct-AWQ Qwen · image-text-to-text 8.3 B 128 K ✓ apache-2.0 1.9 M from 9.4 GB
154 romanian-wav2vec2 gigant · ASR 320 M — ✓ apache-2.0 1.9 M from 1.9 GB
155 Ornith-1.0-35B ornith-ai · text-generation <0.1 M — ✓ mit 1.9 M from 77.7 GB
156 Ternary-Bonsai-2-27B-gguf prism-ml · text-generation 27.0 B — ✓ apache-2.0 1.9 M from 5.2 GB
157 wav2vec2-large-voxrex-swedish KBLab · ASR 320 M — ✓ cc0-1.0 1.9 M from 1.9 GB
158 wav2vec2-large-xlsr-53-telugu anuragshas · ASR — — ✓ apache-2.0 1.9 M —
159 stsb-bert-tiny-safetensors sentence-transformers-testing · sentence-similarity <0.1 M 512 unknown 1.9 M from 0.5 GB
160 GLM-4.7-Flash zai-org · text-generation 31.2 B 203 K ✓ mit 1.9 M from 73.9 GB
161 Llama-3.2-3B-Instruct meta-llama · text-generation · gated 3.2 B — ⚠ llama3.2 1.8 M from 8.0 GB
162 Gemma-4-E4B-Uncensored-HauhauCS-Aggressive HauhauCS · image-text-to-text — — ⚠ gemma 1.8 M from 5.4 GB
163 Qwen3.5-35B-A3B Qwen · image-text-to-text 36.0 B — ✓ apache-2.0 1.8 M from 85.0 GB
164 Qwen3.5-27B Qwen · image-text-to-text 27.8 B — ✓ apache-2.0 1.8 M from 65.8 GB
165 chatterbox ResembleAI · text-to-speech — — ✓ mit 1.8 M from 12.2 GB
166 Qwen2.5-Coder-14B-Instruct Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 1.8 M from 35.2 GB
167 Qwen3-8B-AWQ Qwen · text-generation 8.2 B 41 K ✓ apache-2.0 1.8 M from 8.4 GB
168 nemotron-3.5-asr-streaming-0.6b-gguf handy-computer · ASR — — other 1.8 M from 1.0 GB
169 Voxtral-Mini-4B-Realtime-2602 mistralai · ASR 4.4 B — ✓ apache-2.0 1.8 M from 20.7 GB
170 filipino-wav2vec2-l-xls-r-300m-official Khalsuu · ASR 300 M — ✓ apache-2.0 1.8 M from 1.2 GB
171 parakeet-tdt-0.6b-v3 mlx-community · ASR 630 M — ✓ cc-by-4.0 1.8 M from 3.4 GB
172 resnet50.a1_in1k timm · image-classification 30 M — ✓ apache-2.0 1.8 M from 0.6 GB
173 stable-diffusion-v1-5 stable-diffusion-v1-5 · text-to-image 860 M — ⚠ creativeml-openrail-m 1.8 M from 26.6 GB
174 tf_efficientnetv2_s.in21k_ft_in1k timm · image-classification 20 M — ✓ apache-2.0 1.8 M from 0.6 GB
175 Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF 0bserverx · text-generation — — ✓ apache-2.0 1.8 M from 8.9 GB
176 wav2vec2-large-xlsr-53-persian jonatasgrosman · ASR — — ✓ apache-2.0 1.8 M —
177 Mistral-7B-Instruct-v0.2 mistralai · text-generation 7.2 B 33 K ✓ apache-2.0 1.8 M from 17.5 GB
178 gemma-3-4b-it google · image-text-to-text · gated 4.3 B — ⚠ gemma 1.8 M from 10.6 GB
179 Gemma-4-26B-A4B-NVFP4 nvidia · text-generation 14.4 B — ✓ apache-2.0 1.7 M from 23.3 GB
180 paraphrase-mpnet-base-v2 sentence-transformers · sentence-similarity 110 M 512 ✓ apache-2.0 1.7 M from 1.0 GB
181 Qwen3-30B-A3B Qwen · text-generation 30.5 B 41 K ✓ apache-2.0 1.7 M from 72.3 GB
182 wav2vec2-large-xls-r-300m-Urdu kingabzpro · ASR 320 M — ✓ apache-2.0 1.7 M from 1.9 GB
183 nomic-embed-text-v2-moe nomic-ai · sentence-similarity 480 M — ✓ apache-2.0 1.7 M from 2.7 GB
184 llava-1.5-7b-hf llava-hf · image-text-to-text 7.1 B — ⚠ llama2 1.7 M from 17.1 GB
185 faster-whisper-base Systran · ASR — — ✓ mit 1.7 M —
186 whisper-tiny openai · ASR 40 M — ✓ apache-2.0 1.7 M from 0.7 GB
187 Qwen3.5-35B-A3B-FP8 Qwen · image-text-to-text 36.0 B — ✓ apache-2.0 1.6 M from 47.1 GB
188 Qwen2-VL-7B-Instruct-AWQ Qwen · image-text-to-text 8.3 B 33 K ✓ apache-2.0 1.6 M from 9.4 GB
189 Gemma-4-31B-IT-NVFP4 nvidia · text-generation 20.9 B — other 1.6 M from 39.5 GB
190 Qwen2.5-0.5B Qwen · text-generation 490 M 33 K ✓ apache-2.0 1.6 M from 1.7 GB
191 opus-mt-nl-en Helsinki-NLP · translation — 512 ✓ apache-2.0 1.6 M —
192 gemma-4-26B-A4B-it-AWQ-4bit cyankiwi · image-text-to-text 25.8 B — ✓ apache-2.0 1.6 M from 23.3 GB
193 Qwen3.6-27B-NVFP4 unsloth · image-text-to-text 21.2 B — ✓ apache-2.0 1.6 M from 29.4 GB
194 e5-large-v2 intfloat · sentence-similarity 340 M 512 ✓ mit 1.6 M from 2.0 GB
195 Qwen3.8-Flash-Next-GGUF unsloth · image-text-to-text — — other 1.6 M from 3.6 GB
196 multilingual-e5-large-instruct intfloat · feature-extraction 560 M 512 ✓ mit 1.6 M from 1.8 GB
197 multi-qa-mpnet-base-dot-v1 sentence-transformers · sentence-similarity 110 M 512 unknown 1.6 M from 1.0 GB
198 DeepSeek-V4-Flash deepseek-ai · text-generation 158.1 B 1.0 M ✓ mit 1.6 M from 199.8 GB
199 whisper-base openai · ASR 70 M — ✓ apache-2.0 1.5 M from 0.8 GB
200 parakeet-unified-en-0.6b-gguf handy-computer · ASR — — ✓ cc-by-4.0 1.5 M from 1.0 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.