1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on Mac M3 · 24 GB
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On Mac M3 · 24 GB |
|---|---|---|---|---|---|---|
| 101 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.7 M | 1.1 GB |
| 102 | resnet50.a1_in1k | 30 M | — | ✓ apache-2.0 | 1.6 M | 0.6 GB |
| 103 | Qwen2.5-7B-Instruct-AWQ | 7.6 B | 33 K | ✓ apache-2.0 | 1.6 M | 7.8 GB |
| 104 | Ternary-Bonsai-2-27B-gguf | 27.0 B | — | ✓ apache-2.0 | 1.6 M | 5.2 GB |
| 105 | Qwen3.6-35B-A3B-GGUF | — | — | ✓ apache-2.0 | 1.6 M | 11.6 GB |
| 106 | nsfw_image_detection | 90 M | — | ✓ apache-2.0 | 1.6 M | 0.9 GB |
| 107 | Qwen-Image-2.1-GGUF | 7.1 B | — | other | 1.6 M | 4.3 GB |
| 108 | Qwen3-8B-AWQ | 8.2 B | 41 K | ✓ apache-2.0 | 1.6 M | 8.4 GB |
| 109 | Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF | 27.0 B | — | other | 1.6 M | 4.6 GB |
| 110 | kokoro-inno-clone-tuner | 9.7 M | — | ✓ apache-2.0 | 1.6 M | 0.5 GB |
| 111 | Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.5 M | 17.9 GB |
| 112 | Qwen3.5-4B-GGUF | — | — | ✓ apache-2.0 | 1.5 M | 2.8 GB |
| 113 | paraphrase-MiniLM-L6-v2 | 20 M | 512 | ✓ apache-2.0 | 1.5 M | 0.6 GB |
| 114 | Qwen3-VL-8B-Instruct-FP8 | 8.8 B | — | ✓ apache-2.0 | 1.5 M | 13.5 GB |
| 115 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 1.5 M | 6.9 GB |
| 116 | distilgpt2 | 90 M | — | ✓ apache-2.0 | 1.5 M | 0.9 GB |
| 117 | jina-embeddings-v3 | 570 M | 8 K | ✗ cc-by-nc-4.0 | 1.5 M | 1.8 GB |
| 118 | multi-qa-mpnet-base-dot-v1 | 110 M | 512 | unknown | 1.5 M | 1.0 GB |
| 119 | Mistral-7B-Instruct-v0.2 | 7.2 B | 33 K | ✓ apache-2.0 | 1.5 M | 17.5 GB |
| 120 | SapBERT-from-PubMedBERT-fulltext | 110 M | 512 | ✓ apache-2.0 | 1.4 M | 1.0 GB |
| 121 | Qwen3-TTS-12Hz-1.7B-CustomVoice | 1.9 B | — | ✓ apache-2.0 | 1.4 M | 5.8 GB |
| 122 | Dirk-Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.4 M | 14.2 GB |
| 123 | chandra-ocr-2 | 5.3 B | — | ⚠ openrail | 1.4 M | 12.9 GB |
| 124 | Qwen2.5-3B-Instruct-AWQ | 3.4 B | 33 K | other | 1.4 M | 4.0 GB |
| 125 | wav2vec2-xls-r-300m-cs-250 | 320 M | — | ✓ apache-2.0 | 1.4 M | 1.9 GB |
| 126 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 1.4 M | 0.9 GB |
| 127 | Qwen3.8-27B-GSQ-RCO-GGUF | — | — | ✓ apache-2.0 | 1.4 M | 1.5 GB |
| 128 | Qwen-Image-2.1-Turbo-GGUF | — | — | other | 1.4 M | 3.2 GB |
| 129 | gender-classification | 90 M | — | unknown | 1.3 M | 0.9 GB |
| 130 | Llama-3.2-1B-Instruct | 1.2 B | — | ⚠ llama3.2 | 1.3 M | 3.4 GB |
| 131 | ko-sroberta-multitask | 110 M | 512 | unknown | 1.3 M | 1.0 GB |
| 132 | w2v-bert-2.0 | 580 M | — | ✓ mit | 1.3 M | 3.1 GB |
| 133 | Qwen2.5-VL-7B-Instruct-AWQ | 8.3 B | 128 K | ✓ apache-2.0 | 1.3 M | 9.4 GB |
| 134 | wav2vec2-large-voxrex-swedish | 320 M | — | ✓ cc0-1.0 | 1.3 M | 1.9 GB |
| 135 | table-transformer-structure-recognition | 30 M | 1 K | ✓ mit | 1.3 M | 0.6 GB |
| 136 | F5-TTS | — | — | ✗ cc-by-nc-4.0 | 1.3 M | 5.0 GB |
| 137 | Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive | — | — | ✓ apache-2.0 | 1.3 M | 13.3 GB |
| 138 | Ornith-1.5-397B-GGUF | — | — | ✓ mit | 1.3 M | 1.5 GB |
| 139 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 1.3 M | 0.6 GB |
| 140 | efficientvit_l2.r288_in1k | 64 M | — | ✓ apache-2.0 | 1.3 M | 0.8 GB |
| 141 | Qwen3-ASR-1.7B-gguf | 1.7 B | — | ✓ apache-2.0 | 1.2 M | 2.2 GB |
| 142 | cohere-transcribe-03-2026-gguf | 2.1 B | — | ✓ apache-2.0 | 1.2 M | 2.5 GB |
| 143 | Qwen2.5-VL-7B-Instruct-NVFP4 | 5.0 B | 128 K | other | 1.2 M | 9.2 GB |
| 144 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 1.2 M | 3.4 GB |
| 145 | Qwen3-TTS-GGUF | — | — | ✓ apache-2.0 | 1.2 M | 1.8 GB |
| 146 | romanian-wav2vec2 | 320 M | — | ✓ apache-2.0 | 1.2 M | 1.9 GB |
| 147 | Qwen2.5-0.5B | 490 M | 33 K | ✓ apache-2.0 | 1.2 M | 1.7 GB |
| 148 | Ternary-Bonsai-2-9B-gguf | 9.0 B | — | ✓ apache-2.0 | 1.2 M | 2.9 GB |
| 149 | embeddinggemma-300m | 300 M | — | ⚠ gemma | 1.2 M | 1.9 GB |
| 150 | parakeet-tdt-0.6b-v3-gguf | 600 M | — | ✓ cc-by-4.0 | 1.1 M | 1.1 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.