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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 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
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
$
731 models
#ModelParamsContextCommercial use30dOn Mac M4 Max · 64 GB
151 Qwen3-TTS-12Hz-0.6B-CustomVoice Qwen · text-to-speech 910 M — ✓ apache-2.0 1.6 M 3.4 GB
152 Qwen3-0.6B-FP8 Qwen · text-generation 750 M 41 K ✓ apache-2.0 1.6 M 1.8 GB
153 bge-small-en BAAI · feature-extraction 30 M 512 ✓ mit 1.6 M 0.7 GB
154 bart-large-cnn facebook · summarization 410 M 1 K ✓ mit 1.6 M 2.3 GB
155 gender-classification rizvandwiki · image-classification 90 M — unknown 1.5 M 0.9 GB
156 nomic-embed-text-v2-moe nomic-ai · sentence-similarity 480 M — ✓ apache-2.0 1.5 M 2.7 GB
157 Qwen2-VL-7B-Instruct Qwen · image-text-to-text 8.3 B 33 K ✓ apache-2.0 1.5 M 20.0 GB
158 Llama-3.1-8B meta-llama · text-generation · gated 8.0 B — ⚠ llama3.1 1.5 M 19.4 GB
159 OpenELM-1_1B-Instruct apple · text-generation 1.1 B — apple-amlr 1.5 M 3.0 GB
160 SmolLM-1.7B-Instruct-quantized.w4a16 nm-testing · text-generation 1.8 B 2 K ✓ apache-2.0 1.5 M 2.7 GB
161 Llama-3.2-1B-Instruct-FP8-dynamic RedHatAI · text-generation 1.5 B 131 K ⚠ llama3.2 1.5 M 3.0 GB
162 gpt2-large openai-community · text-generation 810 M — ✓ mit 1.5 M 4.2 GB
163 stable-diffusion-xl-base-1.0 stabilityai · text-to-image 2.6 B — ⚠ openrail++ 1.5 M 39.7 GB
164 Gemma-4-26B-A4B-NVFP4 nvidia · text-generation 14.4 B — ✓ apache-2.0 1.5 M 23.3 GB
165 table-transformer-structure-recognition microsoft · object-detection 30 M 1 K ✓ mit 1.5 M 0.6 GB
166 Llama-3.2-3B-Instruct meta-llama · text-generation · gated 3.2 B — ⚠ llama3.2 1.5 M 8.0 GB
167 InternVL2-2B OpenGVLab · image-text-to-text 2.2 B — ✓ mit 1.5 M 5.7 GB
168 parakeet-tdt-0.6b-v3 mlx-community · ASR 630 M — ✓ cc-by-4.0 1.4 M 3.4 GB
169 snowflake-arctic-embed-l-v2.0 Snowflake · sentence-similarity 570 M 8 K ✓ apache-2.0 1.4 M 3.1 GB
170 gemma-4-26B-A4B-it-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.4 M 11.4 GB
171 Qwen3-Coder-30B-A3B-Instruct-FP8 Qwen · text-generation 30.5 B 262 K ✓ apache-2.0 1.4 M 39.4 GB
172 wav2vec2-xls-r-300m-cs-250 comodoro · ASR 320 M — ✓ apache-2.0 1.4 M 1.9 GB
173 w2v-bert-2.0 facebook · feature-extraction 580 M — ✓ mit 1.4 M 3.1 GB
174 Qwen2.5-VL-32B-Instruct-AWQ Qwen · image-text-to-text 33.5 B 128 K ✓ apache-2.0 1.4 M 28.3 GB
175 DeepSeek-V2-Lite-Chat deepseek-ai · text-generation 15.7 B 164 K other 1.4 M 37.4 GB
176 Qwen3-VL-Embedding-2B Qwen · sentence-similarity 2.1 B — ✓ apache-2.0 1.4 M 5.5 GB
177 Llama-3.1-Nemotron-Nano-VL-8B-V1 nvidia · image-text-to-text 8.7 B — other 1.3 M 21.0 GB
178 Qwen3.5-9B-AWQ QuantTrio · image-text-to-text 9.7 B — ✓ apache-2.0 1.3 M 15.6 GB
179 Mistral-7B-Instruct-v0.2 mistralai · text-generation 7.2 B 33 K ✓ apache-2.0 1.3 M 17.5 GB
180 Phi-3.5-vision-instruct microsoft · image-text-to-text 4.2 B 131 K ✓ mit 1.3 M 10.2 GB
181 gemma-3-12b-it google · image-text-to-text · gated 12.2 B — ⚠ gemma 1.3 M 29.1 GB
182 bert-base-NER dslim · token-classification 110 M 512 ✓ mit 1.3 M 1.0 GB
183 h2ovl-mississippi-800m h2oai · text-generation 830 M — ✓ apache-2.0 1.3 M 2.4 GB
184 efficientnet_b0.ra_in1k timm · image-classification 10 M — ✓ apache-2.0 1.3 M 0.5 GB
185 h2ovl-mississippi-2b h2oai · text-generation 2.2 B — ✓ apache-2.0 1.3 M 5.6 GB
186 Qwen3.6-35B-A3B-AWQ-4bit cyankiwi · image-text-to-text 36.0 B — ✓ apache-2.0 1.3 M 33.4 GB
187 deepseek-vl2-tiny deepseek-ai · image-text-to-text 3.4 B — other 1.3 M 8.4 GB
188 gemma-3-27b-it-int4-awq gaunernst · image-text-to-text 27.4 B — ⚠ gemma 1.2 M 24.9 GB
189 gte-multilingual-base Alibaba-NLP · sentence-similarity 310 M 8 K ✓ apache-2.0 1.2 M 1.2 GB
190 gemma-4-31B-it-NVFP4 RedHatAI · image-text-to-text 32.7 B — ✓ apache-2.0 1.2 M 31.0 GB
191 gemma-4-26B-A4B-it-FP8-dynamic RedHatAI · image-text-to-text 26.6 B — ✓ apache-2.0 1.2 M 36.0 GB
192 romanian-wav2vec2 gigant · ASR 320 M — ✓ apache-2.0 1.2 M 1.9 GB
193 table-transformer-detection microsoft · object-detection 30 M 1 K ✓ mit 1.2 M 0.6 GB
194 Qwen3.6-27B-MTP-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.2 M 14.3 GB
195 falcon-7b tiiuae · text-generation 7.2 B — ✓ apache-2.0 1.2 M 17.5 GB
196 ast-finetuned-audioset-10-10-0.4593 MIT · audio-classification 90 M — ✓ bsd-3-clause 1.2 M 0.9 GB
197 Qwen3.5-4B-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.2 M 2.8 GB
198 gte-Qwen2-1.5B-instruct Alibaba-NLP · sentence-similarity 1.8 B 131 K ✓ apache-2.0 1.2 M 8.6 GB
199 bloomz-560m bigscience · text-generation 560 M — ⚠ bigscience-bloom-rail-1.0 1.2 M 1.8 GB
200 resnet-50 microsoft · image-classification 30 M — ✓ apache-2.0 1.2 M 0.6 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.