AImodelsComparison.com 1,011 models
Menu
Models Best of Trending Can I run it? Methodology About
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.

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
$
571 models
#ModelParamsContextCommercial use30dOn Mac M3 · 24 GB
151 resnet-50 microsoft · image-classification 30 M — ✓ apache-2.0 1.2 M 0.6 GB
152 Qwen3-4B-Instruct-2507-FP8 Qwen · text-generation 4.4 B 262 K ✓ apache-2.0 1.2 M 6.9 GB
153 SmolVLM2-500M-Video-Instruct HuggingFaceTB · image-text-to-text 510 M — ✓ apache-2.0 1.2 M 2.8 GB
154 surya-ocr-2 datalab-to · image-text-to-text 690 M — ⚠ openrail 1.2 M 2.1 GB
155 Qwen3-8B-AWQ Qwen · text-generation 8.2 B 41 K ✓ apache-2.0 1.1 M 8.4 GB
156 e5-base-v2 intfloat · sentence-similarity 110 M 512 ✓ mit 1.1 M 1.0 GB
157 bge-micro-v2 TaylorAI · sentence-similarity 20 M 512 ✓ mit 1.1 M 0.5 GB
158 Phi-3.5-mini-instruct microsoft · text-generation 3.8 B 131 K ✓ mit 1.1 M 9.5 GB
159 Wav2Vec2-large-xlsr-hindi theainerd · ASR 320 M — unknown 1.1 M 1.9 GB
160 clipseg-rd64-refined CIDAS · image-segmentation 150 M — ✓ apache-2.0 1.1 M 1.2 GB
161 all-roberta-large-v1 sentence-transformers · sentence-similarity 360 M 512 ✓ apache-2.0 1.1 M 2.1 GB
162 SmolVLM-256M-Instruct HuggingFaceTB · image-text-to-text 260 M — ✓ apache-2.0 1.1 M 1.1 GB
163 1 unslothai · feature-extraction — 2 K unknown 1.1 M 0.5 GB
164 TinyLlama-1.1B-Chat-v0.3-GPTQ TheBloke · text-generation 1.1 B 2 K ✓ apache-2.0 1.1 M 1.5 GB
165 distiluse-base-multilingual-cased-v2 sentence-transformers · sentence-similarity 130 M 512 ✓ apache-2.0 1.1 M 1.1 GB
166 wav2vec2-large-voxrex-swedish KBLab · ASR 320 M — ✓ cc0-1.0 1.1 M 1.9 GB
167 bge-small-en-v1.5 michaelfeil · feature-extraction 30 M 512 ✓ mit 1.1 M 0.7 GB
168 llava-onevision-qwen2-0.5b-ov-hf llava-hf · image-text-to-text 890 M — ✓ apache-2.0 1.1 M 2.6 GB
169 nemotron-3.5-asr-streaming-0.6b nvidia · ASR 640 M — other 1.0 M 1.4 GB
170 jina-embeddings-v2-small-en jinaai · feature-extraction 30 M 8 K ✓ apache-2.0 1.0 M 0.6 GB
171 distiluse-base-multilingual-cased-v1 sentence-transformers · sentence-similarity 130 M 512 ✓ apache-2.0 1.0 M 1.1 GB
172 Qwen3.5-9B-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 1.0 M 5.2 GB
173 cohere-transcribe-03-2026 CohereLabs · ASR · gated 2.1 B — ✓ apache-2.0 1.0 M 5.4 GB
174 cohere-transcribe-03-2026-gguf handy-computer · ASR — — ✓ apache-2.0 1,000 K 2.2 GB
175 Qwen2-0.5B Qwen · text-generation 490 M 131 K ✓ apache-2.0 998 K 1.7 GB
176 e5-base intfloat · sentence-similarity 110 M 512 ✓ mit 990 K 1.0 GB
177 repeat unslothai · feature-extraction — — unknown 975 K 0.5 GB
178 roberta-base-go_emotions SamLowe · text-classification 120 M 512 ✓ mit 968 K 1.1 GB
179 Qwen3-1.7B-Base Qwen · text-generation 1.7 B 33 K ✓ apache-2.0 961 K 4.5 GB
180 MiniCPM-V-4.6 openbmb · image-text-to-text 1.3 B — ✓ apache-2.0 942 K 3.6 GB
181 robertuito-sentiment-analysis pysentimiento · text-classification 110 M 128 unknown 940 K 1.0 GB
182 Gemma-4-E4B-Uncensored-HauhauCS-Aggressive HauhauCS · image-text-to-text — — ⚠ gemma 937 K 5.4 GB
183 UAE-Large-V1 WhereIsAI · feature-extraction 340 M 512 ✓ mit 928 K 2.0 GB
184 MiniCPM5-1B openbmb · text-generation 1.1 B 131 K ✓ apache-2.0 926 K 3.0 GB
185 LocateAnything-3B nvidia · image-text-to-text 3.8 B — other 923 K 9.5 GB
186 rorshark-vit-base amunchet · image-classification 90 M — ✓ apache-2.0 923 K 0.9 GB
187 Qwythos-9B-Claude-Mythos-5-1M-GGUF empero-ai · image-text-to-text — — ✓ apache-2.0 922 K 7.0 GB
188 InternVL2-1B OpenGVLab · image-text-to-text 940 M — ✓ mit 920 K 2.7 GB
189 distilbert-base-multilingual-cased-sentiments-student lxyuan · text-classification 140 M 512 ✓ apache-2.0 917 K 1.1 GB
190 Qwen2.5-1.5B-Instruct-AWQ Qwen · text-generation 1.8 B 33 K ✓ apache-2.0 913 K 2.5 GB
191 Phi-tiny-MoE-instruct microsoft · text-generation 3.8 B 4 K ✓ mit 907 K 9.3 GB
192 opus-mt-fr-en Helsinki-NLP · translation 80 M 512 ✓ apache-2.0 900 K 0.8 GB
193 VoxCPM2 openbmb · text-to-speech 2.3 B — ✓ apache-2.0 900 K 5.9 GB
194 gte-large thenlper · sentence-similarity 340 M 512 ✓ mit 897 K 1.3 GB
195 dreamshaper-7 Lykon · text-to-image 860 M — ⚠ creativeml-openrail-m 895 K 9.7 GB
196 Qwen3.6-35B-A3B-GGUF unsloth · image-text-to-text — — ✓ apache-2.0 895 K 11.6 GB
197 multi-qa-MiniLM-L6-cos-v1 sentence-transformers · sentence-similarity 20 M 512 unknown 882 K 0.6 GB
198 OmniVoice k2-fsa · text-to-speech 610 M — unknown 877 K 4.2 GB
199 wav2vec2-large-xlsr-korean kresnik · ASR 320 M — ✓ apache-2.0 877 K 1.9 GB
200 pubmedbert-base-embeddings NeuML · sentence-similarity 110 M 512 ✓ apache-2.0 877 K 1.0 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.