1,054 models · refreshed nightly

Models that run on Mac M4 Max · 64 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 410 text-to-image 153 ASR 92 image-text-to-text 89 sentence-similarity 61 feature-extraction 47 translation 47 text-classification 42 image-classification 34 token-classification 27 text-to-speech 12 audio-classification 11 object-detection 11 summarization 9 image-segmentation 9

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

804 models

#	Model	Params	Context	Commercial use	30d	On Mac M4 Max · 64 GB
01	all-MiniLM-L6-v2 sentence-transformers · sentence-similarity	20 M	512	✓ apache-2.0	254.1 M	0.6 GB
02	bge-small-en-v1.5 BAAI · feature-extraction	30 M	512	✓ mit	64.5 M	0.7 GB
03	paraphrase-multilingual-MiniLM-L12-v2 sentence-transformers · sentence-similarity	120 M	512	✓ apache-2.0	45.9 M	1.0 GB
04	t5-small google-t5 · translation	60 M	—	✓ apache-2.0	24.9 M	0.8 GB
05	Qwen3-0.6B Qwen · text-generation	750 M	41 K	✓ apache-2.0	23.0 M	2.3 GB
06	all-mpnet-base-v2 sentence-transformers · sentence-similarity	110 M	512	✓ apache-2.0	22.6 M	1.0 GB
07	Qwen3-VL-8B-Instruct Qwen · image-text-to-text	8.8 B	—	✓ apache-2.0	19.5 M	21.1 GB
08	mobilenetv3_small_100.lamb_in1k timm · image-classification	<0.1 M	—	✓ apache-2.0	18.0 M	0.5 GB
09	bge-reranker-v2-m3 BAAI · text-classification	570 M	8 K	✓ apache-2.0	17.6 M	3.1 GB
10	gpt2 openai-community · text-generation	140 M	—	✓ mit	15.4 M	1.1 GB
11	nomic-embed-text-v1.5 nomic-ai · sentence-similarity	140 M	2 K	✓ apache-2.0	14.7 M	1.1 GB
12	Qwen3-8B Qwen · text-generation	8.2 B	41 K	✓ apache-2.0	12.9 M	19.7 GB
13	Qwen3-Coder-30B-A3B-Instruct-GGUF unsloth · text-generation	—	—	✓ apache-2.0	12.7 M	12.9 GB
14	efficientnet_b3.ra2_in1k timm · image-classification	10 M	—	✓ apache-2.0	12.7 M	0.6 GB
15	multilingual-e5-small intfloat · sentence-similarity	120 M	512	✓ mit	12.3 M	1.0 GB
16	Kokoro-82M hexgrad · text-to-speech	82 M	—	✓ apache-2.0	11.6 M	0.7 GB
17	bge-large-en-v1.5 BAAI · feature-extraction	340 M	512	✓ mit	11.4 M	2.0 GB
18	bge-base-en-v1.5 BAAI · feature-extraction	110 M	512	✓ mit	10.5 M	1.0 GB
19	paraphrase-multilingual-mpnet-base-v2 sentence-transformers · sentence-similarity	280 M	512	✓ apache-2.0	9.9 M	1.8 GB
20	Qwen3.6-35B-A3B-FP8 Qwen · image-text-to-text	36.0 B	—	✓ apache-2.0	9.8 M	47.1 GB
21	Qwen2.5-7B-Instruct Qwen · text-generation	7.6 B	33 K	✓ apache-2.0	9.7 M	18.4 GB
22	Qwen3.5-9B Qwen · image-text-to-text	9.7 B	—	✓ apache-2.0	9.3 M	23.2 GB
23	Qwen3-Embedding-0.6B Qwen · feature-extraction	600 M	33 K	✓ apache-2.0	8.6 M	1.9 GB
24	Qwen2.5-0.5B-Instruct Qwen · text-generation	490 M	33 K	✓ apache-2.0	8.5 M	1.7 GB
25	Qwen3.6-35B-A3B-NVFP4 nvidia · text-generation	18.7 B	—	✓ apache-2.0	8.3 M	29.1 GB
26	clap-htsat-fused laion · audio-classification	150 M	—	✓ apache-2.0	8.2 M	1.2 GB
27	multilingual-e5-base intfloat · sentence-similarity	280 M	512	✓ mit	7.6 M	1.8 GB
28	opt-125m facebook · text-generation	125 M	2 K	other	7.4 M	0.8 GB
29	Qwen2.5-1.5B-Instruct Qwen · text-generation	1.5 B	33 K	✓ apache-2.0	7.2 M	4.1 GB
30	vit-base-patch16-224 google · image-classification	90 M	—	✓ apache-2.0	7.2 M	0.9 GB
31	multilingual-e5-large intfloat · feature-extraction	560 M	512	✓ mit	7.2 M	3.0 GB
32	Qwen3-4B Qwen · text-generation	4.0 B	41 K	✓ apache-2.0	7.1 M	10.0 GB
33	Qwen3.8-27B-FP8 Qwen · image-text-to-text	27.8 B	—	✓ apache-2.0	7.1 M	38.6 GB
34	Llama-3.2-1B-Instruct meta-llama · text-generation · gated	1.2 B	—	⚠ llama3.2	7.0 M	3.4 GB
35	Qwen3.5-4B Qwen · image-text-to-text	4.7 B	—	✓ apache-2.0	6.9 M	11.5 GB
36	Qwen2.5-VL-7B-Instruct Qwen · image-text-to-text	8.3 B	128 K	✓ apache-2.0	6.9 M	20.0 GB
37	whisper-large-v3-turbo openai · ASR	810 M	—	✓ mit	6.8 M	2.4 GB
38	gpt-oss-20b openai · text-generation	21.5 B	131 K	✓ apache-2.0	6.7 M	34.0 GB
39	granite-embedding-small-english-r2 ibm-granite · feature-extraction	50 M	8 K	✓ apache-2.0	6.3 M	0.6 GB
40	Llama-3.1-8B-Instruct meta-llama · text-generation · gated	8.0 B	—	⚠ llama3.1	5.9 M	19.4 GB
41	Ornith-1.5-9B-GGUF ornith-ai · text-generation	—	—	✓ mit	5.8 M	6.9 GB
42	Qwen3.6-27B-FP8 Qwen · image-text-to-text	27.8 B	—	✓ apache-2.0	5.8 M	38.6 GB
43	bge-small-zh-v1.5 BAAI · feature-extraction	20 M	512	✓ mit	5.1 M	0.6 GB
44	Qwen2.5-3B-Instruct Qwen · text-generation	3.1 B	33 K	other	5.1 M	7.8 GB
45	Ornith-1.0-9B-GGUF deepreinforce-ai · text-generation	—	—	✓ mit	4.9 M	6.7 GB
46	Qwen3.5-2B Qwen · image-text-to-text	2.3 B	—	✓ apache-2.0	4.8 M	5.8 GB
47	Qwen3.8-27B-MLX-4bit lmstudio-community · image-text-to-text	4.7 B	—	✓ apache-2.0	4.7 M	18.9 GB
48	whisper-large-v3 openai · ASR	1.5 B	—	✓ apache-2.0	4.7 M	10.9 GB
49	Ornith-1.5-35B-A3B-GGUF ornith-ai · text-generation	—	—	✓ mit	4.6 M	24.4 GB
50	Qwen3.8-27B-MLX-8bit lmstudio-community · image-text-to-text	8.0 B	—	✓ apache-2.0	4.5 M	34.2 GB

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