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All models

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 89 image-text-to-text 82 sentence-similarity 55 feature-extraction 47 translation 44 text-classification 39 image-classification 32 token-classification 22 text-to-speech 16 audio-classification 12 image-segmentation 8 object-detection 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
$
1,011 models
#ModelParamsContextCommercial use30dMin VRAM
201 DeepSeek-V4-Pro deepseek-ai · text-generation 1,598.8 B 1.0 M ✓ mit 1.6 M from 1,191.5 GB
202 nllb-200-distilled-600M facebook · translation — 1 K ✗ cc-by-nc-4.0 1.6 M —
203 stable-diffusion-v1-5 stable-diffusion-v1-5 · text-to-image 860 M — ⚠ creativeml-openrail-m 1.6 M from 26.6 GB
204 paraphrase-mpnet-base-v2 sentence-transformers · sentence-similarity 110 M 512 ✓ apache-2.0 1.6 M from 1.0 GB
205 Qwen3-TTS-12Hz-0.6B-CustomVoice Qwen · text-to-speech 910 M — ✓ apache-2.0 1.6 M from 3.4 GB
206 Qwen3-0.6B-FP8 Qwen · text-generation 750 M 41 K ✓ apache-2.0 1.6 M from 1.8 GB
207 bge-small-en BAAI · feature-extraction 30 M 512 ✓ mit 1.6 M from 0.7 GB
208 bart-large-cnn facebook · summarization 410 M 1 K ✓ mit 1.6 M from 2.3 GB
209 mit-b2 nvidia · image-classification — — other 1.6 M —
210 gender-classification rizvandwiki · image-classification 90 M — unknown 1.5 M from 0.9 GB
211 nomic-embed-text-v2-moe nomic-ai · sentence-similarity 480 M — ✓ apache-2.0 1.5 M from 2.7 GB
212 Qwen2-VL-7B-Instruct Qwen · image-text-to-text 8.3 B 33 K ✓ apache-2.0 1.5 M from 20.0 GB
213 Llama-3.1-8B meta-llama · text-generation · gated 8.0 B — ⚠ llama3.1 1.5 M from 19.4 GB
214 OpenELM-1_1B-Instruct apple · text-generation 1.1 B — apple-amlr 1.5 M from 3.0 GB
215 SmolLM-1.7B-Instruct-quantized.w4a16 nm-testing · text-generation 1.8 B 2 K ✓ apache-2.0 1.5 M from 2.7 GB
216 Llama-3.2-1B-Instruct-FP8-dynamic RedHatAI · text-generation 1.5 B 131 K ⚠ llama3.2 1.5 M from 3.0 GB
217 gpt2-large openai-community · text-generation 810 M — ✓ mit 1.5 M from 4.2 GB
218 bertweet-base-sentiment-analysis finiteautomata · text-classification — 128 unknown 1.5 M —
219 faster-whisper-base Systran · ASR — — ✓ mit 1.5 M —
220 stable-diffusion-xl-base-1.0 stabilityai · text-to-image 2.6 B — ⚠ openrail++ 1.5 M from 39.7 GB
221 Gemma-4-26B-A4B-NVFP4 nvidia · text-generation 14.4 B — ✓ apache-2.0 1.5 M from 23.3 GB
222 Qwen3-Coder-30B-A3B-Instruct Qwen · text-generation 30.5 B 262 K ✓ apache-2.0 1.5 M from 72.3 GB
223 table-transformer-structure-recognition microsoft · object-detection 30 M 1 K ✓ mit 1.5 M from 0.6 GB
224 Llama-3.2-3B-Instruct meta-llama · text-generation · gated 3.2 B — ⚠ llama3.2 1.5 M from 8.0 GB
225 InternVL2-2B OpenGVLab · image-text-to-text 2.2 B — ✓ mit 1.5 M from 5.7 GB
226 parakeet-tdt-0.6b-v3 mlx-community · ASR 630 M — ✓ cc-by-4.0 1.4 M from 3.4 GB
227 snowflake-arctic-embed-l-v2.0 Snowflake · sentence-similarity 570 M 8 K ✓ apache-2.0 1.4 M from 3.1 GB
228 gemma-4-26B-A4B-it-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.4 M from 11.4 GB
229 Qwen3-Coder-30B-A3B-Instruct-FP8 Qwen · text-generation 30.5 B 262 K ✓ apache-2.0 1.4 M from 39.4 GB
230 Kokoro-82M-v1.0-ONNX onnx-community · text-to-speech — — ✓ apache-2.0 1.4 M —
231 wav2vec2-xls-r-300m-cs-250 comodoro · ASR 320 M — ✓ apache-2.0 1.4 M from 1.9 GB
232 wav2vec2-large-xlsr-53-arabic jonatasgrosman · ASR — — ✓ apache-2.0 1.4 M —
233 w2v-bert-2.0 facebook · feature-extraction 580 M — ✓ mit 1.4 M from 3.1 GB
234 Qwen2.5-VL-32B-Instruct-AWQ Qwen · image-text-to-text 33.5 B 128 K ✓ apache-2.0 1.4 M from 28.3 GB
235 OTel-LLM-8B-A1B-IT farbodtavakkoli · text-generation — 128 K ✓ apache-2.0 1.4 M —
236 DeepSeek-V2-Lite-Chat deepseek-ai · text-generation 15.7 B 164 K other 1.4 M from 37.4 GB
237 Qwen3-VL-Embedding-2B Qwen · sentence-similarity 2.1 B — ✓ apache-2.0 1.4 M from 5.5 GB
238 Llama-3.1-Nemotron-Nano-VL-8B-V1 nvidia · image-text-to-text 8.7 B — other 1.3 M from 21.0 GB
239 faster-whisper-tiny Systran · ASR — — ✓ mit 1.3 M —
240 Qwen3.5-9B-AWQ QuantTrio · image-text-to-text 9.7 B — ✓ apache-2.0 1.3 M from 15.6 GB
241 wav2vec2-large-xlsr-53-hungarian jonatasgrosman · ASR — — ✓ apache-2.0 1.3 M —
242 wav2vec2-large-xlsr-53-chinese-zh-cn jonatasgrosman · ASR — — ✓ apache-2.0 1.3 M —
243 Mistral-7B-Instruct-v0.2 mistralai · text-generation 7.2 B 33 K ✓ apache-2.0 1.3 M from 17.5 GB
244 Phi-3.5-vision-instruct microsoft · image-text-to-text 4.2 B 131 K ✓ mit 1.3 M from 10.2 GB
245 gemma-3-12b-it google · image-text-to-text · gated 12.2 B — ⚠ gemma 1.3 M from 29.1 GB
246 Qwen2.5-72B-Instruct-AWQ Qwen · text-generation 73.0 B 33 K other 1.3 M from 57.2 GB
247 bert-base-NER dslim · token-classification 110 M 512 ✓ mit 1.3 M from 1.0 GB
248 h2ovl-mississippi-800m h2oai · text-generation 830 M — ✓ apache-2.0 1.3 M from 2.4 GB
249 Qwen3.5-122B-A10B-FP8 Qwen · image-text-to-text 125.1 B — ✓ apache-2.0 1.3 M from 159.1 GB
250 efficientnet_b0.ra_in1k timm · image-classification 10 M — ✓ apache-2.0 1.3 M from 0.5 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.