1,011 models · refreshed nightly

Models that run on Mac M3 · 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

571 models

#	Model	Params	Context	Commercial use	30d	On Mac M3 · 24 GB
51	Qwen3-VL-8B-Instruct-FP8 Qwen · image-text-to-text	8.8 B	—	✓ apache-2.0	3.2 M	13.5 GB
52	fairface_age_image_detection dima806 · image-classification	90 M	—	✓ apache-2.0	3.2 M	2.4 GB
53	Qwen2-1.5B-Instruct Qwen · text-generation	1.5 B	33 K	✓ apache-2.0	3.2 M	4.1 GB
54	chandra-ocr-2 datalab-to · image-text-to-text	5.3 B	—	⚠ openrail	3.2 M	12.9 GB
55	llava-1.5-7b-hf llava-hf · image-text-to-text	7.1 B	—	⚠ llama2	3.1 M	17.1 GB
56	indonesian-roberta-base-posp-tagger w11wo · token-classification	120 M	512	✓ mit	3.1 M	1.1 GB
57	Qwen3.5-0.8B Qwen · image-text-to-text	870 M	—	✓ apache-2.0	3.1 M	2.6 GB
58	Qwen2-VL-2B-Instruct Qwen · image-text-to-text	2.2 B	33 K	✓ apache-2.0	3.0 M	5.7 GB
59	koelectra-small-v3-nsmc daekeun-ml · text-classification	10 M	512	✓ mit	2.9 M	0.6 GB
60	Florence-2-base microsoft · image-text-to-text	230 M	—	✓ mit	2.8 M	1.0 GB
61	resnet50.a1_in1k timm · image-classification	30 M	—	✓ apache-2.0	2.8 M	0.6 GB
62	paraphrase-MiniLM-L6-v2 sentence-transformers · sentence-similarity	20 M	512	✓ apache-2.0	2.8 M	0.6 GB
63	Unlimited-OCR baidu · image-text-to-text	3.3 B	33 K	✓ mit	2.7 M	8.3 GB
64	Qwen3.5-2B Qwen · image-text-to-text	2.3 B	—	✓ apache-2.0	2.6 M	5.8 GB
65	distilgpt2 distilbert · text-generation	90 M	—	✓ apache-2.0	2.6 M	0.9 GB
66	moondream2 vikhyatk · image-text-to-text	1.9 B	—	✓ apache-2.0	2.6 M	5.0 GB
67	paraphrase-MiniLM-L3-v2 sentence-transformers · sentence-similarity	20 M	512	✓ apache-2.0	2.6 M	0.6 GB
68	Bonsai-27B-gguf prism-ml · text-generation	—	—	✓ apache-2.0	2.6 M	1.2 GB
69	Qwen2.5-0.5B Qwen · text-generation	490 M	33 K	✓ apache-2.0	2.6 M	1.7 GB
70	e5-large-v2 intfloat · sentence-similarity	340 M	512	✓ mit	2.6 M	2.0 GB
71	TinyLlama-1.1B-Chat-v1.0 TinyLlama · text-generation	1.1 B	2 K	✓ apache-2.0	2.5 M	3.1 GB
72	snowflake-arctic-embed-xs Snowflake · sentence-similarity	20 M	512	unknown	2.5 M	0.6 GB
73	Qwen2.5-14B-Instruct-AWQ Qwen · text-generation	14.8 B	33 K	✓ apache-2.0	2.5 M	13.7 GB
74	chatterbox ResembleAI · text-to-speech	—	—	✓ mit	2.5 M	12.2 GB
75	mms-300m-1130-forced-aligner MahmoudAshraf · ASR	320 M	—	✗ cc-by-nc-4.0	2.5 M	1.9 GB
76	pythia-160m EleutherAI · text-generation	210 M	2 K	✓ apache-2.0	2.5 M	0.9 GB
77	bge-reranker-large BAAI · feature-extraction	560 M	512	✓ mit	2.4 M	3.0 GB
78	Qwen3-14B-AWQ Qwen · text-generation	14.8 B	41 K	✓ apache-2.0	2.4 M	13.7 GB
79	DeepSeek-OCR deepseek-ai · image-text-to-text	3.3 B	8 K	✓ mit	2.3 M	8.3 GB
80	all-distilroberta-v1 sentence-transformers · sentence-similarity	80 M	512	✓ apache-2.0	2.3 M	0.9 GB
81	Qwen3-TTS-12Hz-1.7B-CustomVoice Qwen · text-to-speech	1.9 B	—	✓ apache-2.0	2.3 M	5.8 GB
82	multilingual-e5-large-instruct intfloat · feature-extraction	560 M	512	✓ mit	2.3 M	1.8 GB
83	whisper-small openai · ASR	240 M	—	✓ apache-2.0	2.3 M	1.6 GB
84	Qwen3-VL-2B-Instruct Qwen · image-text-to-text	2.1 B	—	✓ apache-2.0	2.2 M	5.5 GB
85	gemma-3-270m google · text-generation · gated	270 M	—	⚠ gemma	2.1 M	1.1 GB
86	DeepSeek-OCR-2 deepseek-ai · image-text-to-text	3.4 B	8 K	✓ apache-2.0	2.1 M	8.5 GB
87	embeddinggemma-300m google · sentence-similarity · gated	300 M	—	⚠ gemma	2.1 M	1.9 GB
88	nemotron-3.5-asr-streaming-0.6b-gguf handy-computer · ASR	—	—	other	2.0 M	1.0 GB
89	Qwen2.5-VL-7B-Instruct-AWQ Qwen · image-text-to-text	8.3 B	128 K	✓ apache-2.0	2.0 M	9.4 GB
90	Qwen3-ASR-1.7B Qwen · ASR	2.4 B	—	✓ apache-2.0	2.0 M	6.0 GB
91	whisper-tiny openai · ASR	40 M	—	✓ apache-2.0	2.0 M	0.7 GB
92	SmolLM2-135M-Instruct HuggingFaceTB · text-generation	130 M	8 K	✓ apache-2.0	2.0 M	0.8 GB
93	multi-qa-mpnet-base-dot-v1 sentence-transformers · sentence-similarity	110 M	512	unknown	1.9 M	1.0 GB
94	Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive HauhauCS · image-text-to-text	—	—	✓ apache-2.0	1.9 M	13.3 GB
95	resnet18.a1_in1k timm · image-classification	10 M	—	✓ apache-2.0	1.9 M	0.6 GB
96	parakeet-unified-en-0.6b-gguf handy-computer · ASR	—	—	✓ cc-by-4.0	1.9 M	1.0 GB
97	parakeet-tdt-0.6b-v2 mlx-community · ASR	620 M	—	✓ cc-by-4.0	1.9 M	3.3 GB
98	parakeet-ctc-1.1b nvidia · ASR	1.1 B	—	✓ cc-by-4.0	1.9 M	2.0 GB
99	PowerMoE-3b ibm-research · text-generation	3.4 B	4 K	✓ apache-2.0	1.8 M	15.9 GB
100	SmolLM2-135M HuggingFaceTB · text-generation	130 M	8 K	✓ apache-2.0	1.8 M	0.8 GB

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