1,011 models · refreshed nightly

Models that run on 2 × 24 GB

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

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

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

731 models

#	Model	Params	Context	Commercial use	30d	On 2 × 24 GB
51	bge-reranker-base BAAI · text-classification	280 M	512	✓ mit	4.6 M	1.8 GB
52	Prompt-Guard-86M meta-llama · text-classification · gated	280 M	—	⚠ llama3.1	4.5 M	1.8 GB
53	Qwen3-ASR-0.6B Qwen · ASR	940 M	—	✓ apache-2.0	4.3 M	2.7 GB
54	granite-4.1-8b ibm-granite · text-generation	8.8 B	131 K	✓ apache-2.0	4.2 M	21.2 GB
55	Qwen3-VL-4B-Instruct Qwen · image-text-to-text	4.4 B	—	✓ apache-2.0	4.0 M	10.9 GB
56	granite-embedding-small-english-r2 ibm-granite · feature-extraction	50 M	8 K	✓ apache-2.0	3.8 M	0.6 GB
57	GLM-OCR zai-org · image-text-to-text	1.3 B	—	✓ mit	3.8 M	3.6 GB
58	Ornith-1.0-35B-GGUF deepreinforce-ai · text-generation	—	—	✓ mit	3.8 M	23.8 GB
59	Ornith-1.0-35B-GGUF ornith-ai · text-generation	—	—	✓ mit	3.8 M	23.8 GB
60	gemma-4-26B-A4B-it-AWQ-4bit cyankiwi · image-text-to-text	26.6 B	—	✓ apache-2.0	3.7 M	23.4 GB
61	distilbert-base-uncased-finetuned-sst-2-english distilbert · text-classification	70 M	512	✓ apache-2.0	3.7 M	0.8 GB
62	all-MiniLM-L12-v2 sentence-transformers · sentence-similarity	30 M	512	✓ apache-2.0	3.5 M	0.7 GB
63	Qwen3.6-27B-NVFP4 unsloth · image-text-to-text	21.2 B	—	✓ apache-2.0	3.4 M	29.4 GB
64	Qwen3-Embedding-4B Qwen · feature-extraction	4.0 B	41 K	✓ apache-2.0	3.4 M	10.0 GB
65	Qwen2.5-14B-Instruct Qwen · text-generation	14.8 B	33 K	✓ apache-2.0	3.3 M	35.2 GB
66	Qwen3-Embedding-8B Qwen · feature-extraction	7.6 B	41 K	✓ apache-2.0	3.3 M	18.3 GB
67	jina-embeddings-v3 jinaai · feature-extraction	570 M	8 K	✗ cc-by-nc-4.0	3.2 M	1.8 GB
68	Qwen3-4B-Instruct-2507 Qwen · text-generation	4.0 B	262 K	✓ apache-2.0	3.2 M	10.0 GB
69	Qwen3-VL-8B-Instruct-FP8 Qwen · image-text-to-text	8.8 B	—	✓ apache-2.0	3.2 M	13.5 GB
70	fairface_age_image_detection dima806 · image-classification	90 M	—	✓ apache-2.0	3.2 M	2.4 GB
71	Qwen2-1.5B-Instruct Qwen · text-generation	1.5 B	33 K	✓ apache-2.0	3.2 M	4.1 GB
72	chandra-ocr-2 datalab-to · image-text-to-text	5.3 B	—	⚠ openrail	3.2 M	12.9 GB
73	llava-1.5-7b-hf llava-hf · image-text-to-text	7.1 B	—	⚠ llama2	3.1 M	17.1 GB
74	indonesian-roberta-base-posp-tagger w11wo · token-classification	120 M	512	✓ mit	3.1 M	1.1 GB
75	Qwen3.5-0.8B Qwen · image-text-to-text	870 M	—	✓ apache-2.0	3.1 M	2.6 GB
76	Qwen2-VL-2B-Instruct Qwen · image-text-to-text	2.2 B	33 K	✓ apache-2.0	3.0 M	5.7 GB
77	Qwen2.5-Coder-14B-Instruct Qwen · text-generation	14.8 B	33 K	✓ apache-2.0	3.0 M	35.2 GB
78	koelectra-small-v3-nsmc daekeun-ml · text-classification	10 M	512	✓ mit	2.9 M	0.6 GB
79	Qwen3-14B Qwen · text-generation	14.8 B	41 K	✓ apache-2.0	2.8 M	35.2 GB
80	Florence-2-base microsoft · image-text-to-text	230 M	—	✓ mit	2.8 M	1.0 GB
81	resnet50.a1_in1k timm · image-classification	30 M	—	✓ apache-2.0	2.8 M	0.6 GB
82	Gemma-4-31B-IT-NVFP4 nvidia · text-generation	20.9 B	—	other	2.8 M	39.5 GB
83	paraphrase-MiniLM-L6-v2 sentence-transformers · sentence-similarity	20 M	512	✓ apache-2.0	2.8 M	0.6 GB
84	Unlimited-OCR baidu · image-text-to-text	3.3 B	33 K	✓ mit	2.7 M	8.3 GB
85	Qwen3.5-2B Qwen · image-text-to-text	2.3 B	—	✓ apache-2.0	2.6 M	5.8 GB
86	distilgpt2 distilbert · text-generation	90 M	—	✓ apache-2.0	2.6 M	0.9 GB
87	moondream2 vikhyatk · image-text-to-text	1.9 B	—	✓ apache-2.0	2.6 M	5.0 GB
88	Qwen3.6-27B-AWQ-INT4 cyankiwi · image-text-to-text	29.3 B	—	✓ apache-2.0	2.6 M	27.4 GB
89	paraphrase-MiniLM-L3-v2 sentence-transformers · sentence-similarity	20 M	512	✓ apache-2.0	2.6 M	0.6 GB
90	Bonsai-27B-gguf prism-ml · text-generation	—	—	✓ apache-2.0	2.6 M	1.2 GB
91	Qwen2.5-0.5B Qwen · text-generation	490 M	33 K	✓ apache-2.0	2.6 M	1.7 GB
92	e5-large-v2 intfloat · sentence-similarity	340 M	512	✓ mit	2.6 M	2.0 GB
93	TinyLlama-1.1B-Chat-v1.0 TinyLlama · text-generation	1.1 B	2 K	✓ apache-2.0	2.5 M	3.1 GB
94	snowflake-arctic-embed-xs Snowflake · sentence-similarity	20 M	512	unknown	2.5 M	0.6 GB
95	Qwen2.5-14B-Instruct-AWQ Qwen · text-generation	14.8 B	33 K	✓ apache-2.0	2.5 M	13.7 GB
96	chatterbox ResembleAI · text-to-speech	—	—	✓ mit	2.5 M	12.2 GB
97	mms-300m-1130-forced-aligner MahmoudAshraf · ASR	320 M	—	✗ cc-by-nc-4.0	2.5 M	1.9 GB
98	pythia-160m EleutherAI · text-generation	210 M	2 K	✓ apache-2.0	2.5 M	0.9 GB
99	bge-reranker-large BAAI · feature-extraction	560 M	512	✓ mit	2.4 M	3.0 GB
100	Qwen3-14B-AWQ Qwen · text-generation	14.8 B	41 K	✓ apache-2.0	2.4 M	13.7 GB

VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.