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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.

Task
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
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
$
804 models
#ModelParamsContextCommercial use30dOn Mac M4 Max · 64 GB
101 Qwen3.8-27B-Uncensored-GGUF JonathanColetti · text-generation — — ✓ apache-2.0 2.3 M 1.5 GB
102 Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF HauhauCS · image-text-to-text — — ✓ apache-2.0 2.3 M 1.5 GB
103 Unlimited-OCR baidu · image-text-to-text 3.3 B 33 K ✓ mit 2.2 M 8.3 GB
104 w2v-bert-2.0 facebook · feature-extraction 580 M — ✓ mit 2.2 M 3.1 GB
105 Ornith-1.0-35B-GGUF ornith-ai · text-generation — — ✓ mit 2.1 M 23.8 GB
106 Qwen3-Embedding-4B Qwen · feature-extraction 4.0 B 41 K ✓ apache-2.0 2.1 M 10.0 GB
107 SmolLM2-135M HuggingFaceTB · text-generation 130 M 8 K ✓ apache-2.0 2.1 M 0.8 GB
108 distilgpt2 distilbert · text-generation 90 M — ✓ apache-2.0 2.1 M 0.9 GB
109 Qwen3.8-27B-NVFP4 RadixArk · image-text-to-text 18.2 B — ✓ apache-2.0 2.1 M 27.3 GB
110 Qwen2.5-14B-Instruct-AWQ Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 2.1 M 13.7 GB
111 Qwen2-VL-2B-Instruct Qwen · image-text-to-text 2.2 B 33 K ✓ apache-2.0 2.1 M 5.7 GB
112 resnet18.a1_in1k timm · image-classification 10 M — ✓ apache-2.0 2.0 M 0.6 GB
113 jina-embeddings-v3 jinaai · feature-extraction 570 M 8 K ✗ cc-by-nc-4.0 2.0 M 1.8 GB
114 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
115 GLM-OCR zai-org · image-text-to-text 1.3 B — ✓ mit 2.0 M 3.6 GB
116 deepseek-v4-gguf antirez · text-generation — — ✓ mit 2.0 M 4.7 GB
117 romanian-wav2vec2 gigant · ASR 320 M — ✓ apache-2.0 1.9 M 1.9 GB
118 Gemma-4-E4B-Uncensored-HauhauCS-Aggressive HauhauCS · image-text-to-text — — ⚠ gemma 1.9 M 5.4 GB
119 wav2vec2-large-voxrex-swedish KBLab · ASR 320 M — ✓ cc0-1.0 1.9 M 1.9 GB
120 moondream2 vikhyatk · image-text-to-text 1.9 B — ✓ apache-2.0 1.9 M 5.0 GB
121 Voxtral-Mini-4B-Realtime-2602 mistralai · ASR 4.4 B — ✓ apache-2.0 1.9 M 20.7 GB
122 stsb-bert-tiny-safetensors sentence-transformers-testing · sentence-similarity <0.1 M 512 unknown 1.9 M 0.5 GB
123 resnet50.a1_in1k timm · image-classification 30 M — ✓ apache-2.0 1.9 M 0.6 GB
124 Qwen3-14B Qwen · text-generation 14.8 B 41 K ✓ apache-2.0 1.9 M 35.2 GB
125 chatterbox ResembleAI · text-to-speech — — ✓ mit 1.8 M 12.2 GB
126 Llama-3.2-3B-Instruct meta-llama · text-generation · gated 3.2 B — ⚠ llama3.2 1.8 M 8.0 GB
127 Qwen2.5-Coder-14B-Instruct Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 1.8 M 35.2 GB
128 nemotron-3.5-asr-streaming-0.6b-gguf handy-computer · ASR — — other 1.8 M 1.0 GB
129 Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF 0bserverx · text-generation — — ✓ apache-2.0 1.8 M 8.9 GB
130 parakeet-tdt-0.6b-v3 mlx-community · ASR 630 M — ✓ cc-by-4.0 1.8 M 3.4 GB
131 Gemma-4-26B-A4B-NVFP4 nvidia · text-generation 14.4 B — ✓ apache-2.0 1.8 M 23.3 GB
132 filipino-wav2vec2-l-xls-r-300m-official Khalsuu · ASR 300 M — ✓ apache-2.0 1.8 M 1.2 GB
133 gemma-3-4b-it google · image-text-to-text · gated 4.3 B — ⚠ gemma 1.8 M 10.6 GB
134 stable-diffusion-v1-5 stable-diffusion-v1-5 · text-to-image 860 M — ⚠ creativeml-openrail-m 1.8 M 26.6 GB
135 Qwen3-8B-AWQ Qwen · text-generation 8.2 B 41 K ✓ apache-2.0 1.8 M 8.4 GB
136 tf_efficientnetv2_s.in21k_ft_in1k timm · image-classification 20 M — ✓ apache-2.0 1.8 M 0.6 GB
137 Mistral-7B-Instruct-v0.2 mistralai · text-generation 7.2 B 33 K ✓ apache-2.0 1.8 M 17.5 GB
138 llava-1.5-7b-hf llava-hf · image-text-to-text 7.1 B — ⚠ llama2 1.8 M 17.1 GB
139 paraphrase-mpnet-base-v2 sentence-transformers · sentence-similarity 110 M 512 ✓ apache-2.0 1.7 M 1.0 GB
140 gemma-4-26B-A4B-it-AWQ-4bit cyankiwi · image-text-to-text 25.8 B — ✓ apache-2.0 1.7 M 23.3 GB
141 nomic-embed-text-v2-moe nomic-ai · sentence-similarity 480 M — ✓ apache-2.0 1.7 M 2.7 GB
142 wav2vec2-large-xls-r-300m-Urdu kingabzpro · ASR 320 M — ✓ apache-2.0 1.7 M 1.9 GB
143 whisper-tiny openai · ASR 40 M — ✓ apache-2.0 1.7 M 0.7 GB
144 Qwen3.6-27B-NVFP4 unsloth · image-text-to-text 21.2 B — ✓ apache-2.0 1.7 M 29.4 GB
145 Qwen2-VL-7B-Instruct-AWQ Qwen · image-text-to-text 8.3 B 33 K ✓ apache-2.0 1.6 M 9.4 GB
146 Qwen3.5-35B-A3B-FP8 Qwen · image-text-to-text 36.0 B — ✓ apache-2.0 1.6 M 47.1 GB
147 Gemma-4-31B-IT-NVFP4 nvidia · text-generation 20.9 B — other 1.6 M 39.5 GB
148 e5-large-v2 intfloat · sentence-similarity 340 M 512 ✓ mit 1.6 M 2.0 GB
149 Qwen2.5-0.5B Qwen · text-generation 490 M 33 K ✓ apache-2.0 1.6 M 1.7 GB
150 multilingual-e5-large-instruct intfloat · feature-extraction 560 M 512 ✓ mit 1.6 M 1.8 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.