AImodelsComparison.com 1,000 models
Menu
Models Best of Trending Can I run it? Methodology About
1,000 models · refreshed nightly

Models that run on RTX 4090 · 24 GB

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
$
680 models
#ModelParamsContextCommercial use30dOn RTX 4090 · 24 GB
201 Llama-3.1-8B-Instruct-4bit mlx-community · text-generation 1.3 B 131 K ⚠ llama3.1 1.0 M 5.7 GB
202 1 unslothai · feature-extraction — 2 K unknown 1.0 M 0.5 GB
203 nb-wav2vec2-1b-bokmaal-v2 NbAiLab · ASR 960 M — ✓ apache-2.0 1.0 M 4.9 GB
204 nllb-200-distilled-600M facebook · translation 600 M 1 K ✗ cc-by-nc-4.0 1.0 M 1.9 GB
205 e5-mistral-7b-instruct-bnb-4bit gabor-hosu · feature-extraction 7.3 B 33 K ✓ mit 1.0 M 5.8 GB
206 Qwen3-TTS-12Hz-0.6B-CustomVoice Qwen · text-to-speech 910 M — ✓ apache-2.0 1.0 M 3.4 GB
207 distiluse-base-multilingual-cased-v1 sentence-transformers · sentence-similarity 130 M 512 ✓ apache-2.0 1.0 M 1.1 GB
208 glm-4-9b-chat-IMat-GGUF legraphista · text-generation — — other 1.0 M 3.9 GB
209 w2v-xls-r-uk Yehor · ASR 320 M — ✓ apache-2.0 1.0 M 1.9 GB
210 distilbert-base-multilingual-cased-sentiments-student lxyuan · text-classification 140 M 512 ✓ apache-2.0 1.0 M 1.1 GB
211 gte-large-en-v1.5 Alibaba-NLP · sentence-similarity 430 M 8 K ✓ apache-2.0 1.0 M 2.5 GB
212 JiRackUltra_14b CMSManhattan · text-generation 14.8 B 131 K ✓ mit 1.0 M 9.1 GB
213 BiRefNet ZhengPeng7 · image-segmentation 220 M — ✓ mit 998 K 1.0 GB
214 text2vec-base-chinese shibing624 · sentence-similarity 100 M 512 ✓ apache-2.0 995 K 1.0 GB
215 Qwen3.5-9B-AWQ QuantTrio · image-text-to-text 9.7 B — ✓ apache-2.0 984 K 15.6 GB
216 Octen-Embedding-8B Octen · sentence-similarity 7.6 B 41 K ✓ apache-2.0 981 K 18.3 GB
217 turn-detector livekit · text-classification 130 M 8 K other 978 K 1.1 GB
218 endless-frontier_BigBang-v1-GGUF bartowski · image-text-to-text — — ✓ apache-2.0 978 K 11.8 GB
219 wav2vec2-large-xlsr-korean kresnik · ASR 320 M — ✓ apache-2.0 971 K 1.9 GB
220 Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit cyankiwi · text-generation 5.3 B 262 K ✓ apache-2.0 968 K 21.2 GB
221 roberta-base-go_emotions SamLowe · text-classification 120 M 512 ✓ mit 962 K 1.1 GB
222 cohere-transcribe-03-2026-gguf handy-computer · ASR — — ✓ apache-2.0 961 K 2.2 GB
223 gemma-4-26B-A4B-it-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 952 K 11.4 GB
224 F5-TTS SWivid · text-to-speech — — ✗ cc-by-nc-4.0 946 K 5.0 GB
225 privacy-filter-nemotron-GGUF LocalAI-io · token-classification — — ✓ apache-2.0 944 K 2.3 GB
226 wav2vec2-xls-r-300m-ftspeech saattrupdan · ASR 320 M — other 944 K 1.9 GB
227 pubmedbert-base-embeddings NeuML · sentence-similarity 110 M 512 ✓ apache-2.0 941 K 1.0 GB
228 vit-base-nsfw-detector AdamCodd · image-classification 90 M — ✓ apache-2.0 937 K 0.9 GB
229 Qwen2.5-Coder-7B-Instruct-AWQ Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 930 K 7.8 GB
230 Qwen3-4B-Instruct-2507-FP8 Qwen · text-generation 4.4 B 262 K ✓ apache-2.0 930 K 6.9 GB
231 rtdetr_r101vd_coco_o365 PekingU · object-detection 80 M — ✓ apache-2.0 911 K 0.9 GB
232 repeat unslothai · feature-extraction — — unknown 908 K 0.5 GB
233 dreamshaper-7 Lykon · text-to-image 860 M — ⚠ creativeml-openrail-m 900 K 9.7 GB
234 snowflake-arctic-embed-l-v2.0 Snowflake · sentence-similarity 570 M 8 K ✓ apache-2.0 889 K 3.1 GB
235 Juggernaut-XL-v9 RunDiffusion · text-to-image — — ⚠ creativeml-openrail-m 869 K 15.9 GB
236 Llama-3.2-1B meta-llama · text-generation · gated 1.2 B — ⚠ llama3.2 869 K 3.4 GB
237 ced-gguf mudler · audio-classification — — ✓ apache-2.0 866 K 0.6 GB
238 jina-embeddings-v2-small-en jinaai · feature-extraction 30 M 8 K ✓ apache-2.0 862 K 0.6 GB
239 Qwen2.5-1.5B Qwen · text-generation 1.5 B 131 K ✓ apache-2.0 860 K 4.1 GB
240 DeepSeek-R1-0528-Qwen3-8B deepseek-ai · text-generation 8.2 B 131 K ✓ mit 858 K 19.7 GB
241 deberta-v3-base-prompt-injection-v2 protectai · text-classification 180 M 512 ✓ apache-2.0 852 K 1.3 GB
242 opus-mt-fr-en Helsinki-NLP · translation 80 M 512 ✓ apache-2.0 848 K 0.8 GB
243 wav2vec2-large-xlsr-mvc-swahili eddiegulay · ASR 320 M — ✓ apache-2.0 845 K 1.9 GB
244 e5-base-v2 intfloat · sentence-similarity 110 M 512 ✓ mit 829 K 1.0 GB
245 Qwen3-0.6B-Base Qwen · text-generation 600 M 33 K ✓ apache-2.0 816 K 1.9 GB
246 POCKET-35B-GGUF FINAL-Bench · text-generation — — ✓ apache-2.0 812 K 9.6 GB
247 Llama-2-7b-hf meta-llama · text-generation · gated 6.7 B — ⚠ llama2 806 K 16.3 GB
248 Ornith-1.5-9B-NVFP4 ornith-ai · text-generation 6.7 B — ✓ mit 805 K 11.2 GB
249 multi-qa-MiniLM-L6-cos-v1 sentence-transformers · sentence-similarity 20 M 512 unknown 805 K 0.6 GB
250 OLMo-2-0425-1B allenai · text-generation 1.5 B 4 K ✓ apache-2.0 799 K 7.3 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.