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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 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
$
647 models
#ModelParamsContextCommercial use30dOn Mac M3 · 24 GB
51 nsfw_image_detection Falconsai · image-classification 90 M — ✓ apache-2.0 3.4 M 0.9 GB
52 Ornith-1.0-9B-GGUF ornith-ai · text-generation — — ✓ mit 3.3 M 6.7 GB
53 nomic-embed-text-v1 nomic-ai · sentence-similarity 140 M 8 K ✓ apache-2.0 3.2 M 1.1 GB
54 Qwen3-VL-2B-Instruct Qwen · image-text-to-text 2.1 B — ✓ apache-2.0 3.0 M 5.5 GB
55 Florence-2-base microsoft · image-text-to-text 230 M — ✓ mit 3.0 M 1.0 GB
56 all-MiniLM-L6-v2 Xenova · feature-extraction 20 M 512 ✓ apache-2.0 3.0 M 0.5 GB
57 gemma-3-1b-it google · text-generation · gated 1.0 B — ⚠ gemma 2.9 M 2.8 GB
58 whisper-small openai · ASR 240 M — ✓ apache-2.0 2.9 M 1.6 GB
59 Huihui-Qwen3.8-27B-abliterated-GGUF huihui-ai · image-text-to-text 27.0 B — ✓ apache-2.0 2.8 M 16.5 GB
60 bge-reranker-large BAAI · feature-extraction 560 M 512 ✓ mit 2.8 M 3.0 GB
61 chandra-ocr-2 datalab-to · image-text-to-text 5.3 B — ⚠ openrail 2.7 M 12.9 GB
62 all-distilroberta-v1 sentence-transformers · sentence-similarity 80 M 512 ✓ apache-2.0 2.7 M 0.9 GB
63 mms-300m-1130-forced-aligner MahmoudAshraf · ASR 320 M — ✗ cc-by-nc-4.0 2.7 M 1.9 GB
64 embeddinggemma-300m google · sentence-similarity · gated 300 M — ⚠ gemma 2.6 M 1.9 GB
65 indonesian-roberta-base-posp-tagger w11wo · token-classification 120 M 512 ✓ mit 2.6 M 1.1 GB
66 Qwen3-TTS-12Hz-1.7B-CustomVoice Qwen · text-to-speech 1.9 B — ✓ apache-2.0 2.6 M 5.8 GB
67 Qwen3-14B-AWQ Qwen · text-generation 14.8 B 41 K ✓ apache-2.0 2.6 M 13.7 GB
68 Qwen3-VL-8B-Instruct-FP8 Qwen · image-text-to-text 8.8 B — ✓ apache-2.0 2.5 M 13.5 GB
69 Qwen2.5-VL-3B-Instruct Qwen · image-text-to-text 3.8 B 128 K unknown 2.5 M 9.3 GB
70 bge-base-en-v1.5 Xenova · feature-extraction 110 M 512 ✓ mit 2.5 M 0.8 GB
71 wav2vec2-large-robust-24-ft-age-gender audeering · audio-classification 320 M — ✗ cc-by-nc-sa-4.0 2.5 M 1.9 GB
72 t5-base google-t5 · translation 220 M — ✓ apache-2.0 2.4 M 1.5 GB
73 bge-base-en BAAI · feature-extraction 110 M 512 ✓ mit 2.4 M 1.0 GB
74 Qwen3.5-0.8B Qwen · image-text-to-text 870 M — ✓ apache-2.0 2.4 M 2.6 GB
75 mxbai-embed-large-v1 mixedbread-ai · feature-extraction 340 M 512 ✓ apache-2.0 2.4 M 1.3 GB
76 DeepSeek-OCR deepseek-ai · image-text-to-text 3.3 B 8 K ✓ mit 2.3 M 8.3 GB
77 Qwen3-ASR-1.7B Qwen · ASR 2.4 B — ✓ apache-2.0 2.3 M 6.0 GB
78 Qwen3.8-27B-Uncensored-GGUF JonathanColetti · text-generation — — ✓ apache-2.0 2.3 M 1.5 GB
79 Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF HauhauCS · image-text-to-text — — ✓ apache-2.0 2.3 M 1.5 GB
80 Unlimited-OCR baidu · image-text-to-text 3.3 B 33 K ✓ mit 2.2 M 8.3 GB
81 w2v-bert-2.0 facebook · feature-extraction 580 M — ✓ mit 2.2 M 3.1 GB
82 Qwen3-Embedding-4B Qwen · feature-extraction 4.0 B 41 K ✓ apache-2.0 2.1 M 10.0 GB
83 SmolLM2-135M HuggingFaceTB · text-generation 130 M 8 K ✓ apache-2.0 2.1 M 0.8 GB
84 distilgpt2 distilbert · text-generation 90 M — ✓ apache-2.0 2.1 M 0.9 GB
85 Qwen2.5-14B-Instruct-AWQ Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 2.1 M 13.7 GB
86 Qwen2-VL-2B-Instruct Qwen · image-text-to-text 2.2 B 33 K ✓ apache-2.0 2.1 M 5.7 GB
87 resnet18.a1_in1k timm · image-classification 10 M — ✓ apache-2.0 2.0 M 0.6 GB
88 jina-embeddings-v3 jinaai · feature-extraction 570 M 8 K ✗ cc-by-nc-4.0 2.0 M 1.8 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 GLM-OCR zai-org · image-text-to-text 1.3 B — ✓ mit 2.0 M 3.6 GB
91 deepseek-v4-gguf antirez · text-generation — — ✓ mit 2.0 M 4.7 GB
92 romanian-wav2vec2 gigant · ASR 320 M — ✓ apache-2.0 1.9 M 1.9 GB
93 Gemma-4-E4B-Uncensored-HauhauCS-Aggressive HauhauCS · image-text-to-text — — ⚠ gemma 1.9 M 5.4 GB
94 wav2vec2-large-voxrex-swedish KBLab · ASR 320 M — ✓ cc0-1.0 1.9 M 1.9 GB
95 moondream2 vikhyatk · image-text-to-text 1.9 B — ✓ apache-2.0 1.9 M 5.0 GB
96 stsb-bert-tiny-safetensors sentence-transformers-testing · sentence-similarity <0.1 M 512 unknown 1.9 M 0.5 GB
97 resnet50.a1_in1k timm · image-classification 30 M — ✓ apache-2.0 1.9 M 0.6 GB
98 chatterbox ResembleAI · text-to-speech — — ✓ mit 1.8 M 12.2 GB
99 Llama-3.2-3B-Instruct meta-llama · text-generation · gated 3.2 B — ⚠ llama3.2 1.8 M 8.0 GB
100 nemotron-3.5-asr-streaming-0.6b-gguf handy-computer · ASR — — other 1.8 M 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.