1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on Mac M4 Max · 64 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 M4 Max · 64 GB |
|---|---|---|---|---|---|---|
| 151 | Qwen3.6-27B-FP8 | 27.8 B | — | ✓ apache-2.0 | 1.4 M | 38.6 GB |
| 152 | SapBERT-from-PubMedBERT-fulltext | 110 M | 512 | ✓ apache-2.0 | 1.4 M | 1.0 GB |
| 153 | Qwen3-TTS-12Hz-1.7B-CustomVoice | 1.9 B | — | ✓ apache-2.0 | 1.4 M | 5.8 GB |
| 154 | Dirk-Qwen3.8-27B-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.4 M | 14.2 GB |
| 155 | chandra-ocr-2 | 5.3 B | — | ⚠ openrail | 1.4 M | 12.9 GB |
| 156 | Qwen2.5-3B-Instruct-AWQ | 3.4 B | 33 K | other | 1.4 M | 4.0 GB |
| 157 | wav2vec2-xls-r-300m-cs-250 | 320 M | — | ✓ apache-2.0 | 1.4 M | 1.9 GB |
| 158 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 1.4 M | 0.9 GB |
| 159 | Qwen3.8-27B-GSQ-RCO-GGUF | — | — | ✓ apache-2.0 | 1.4 M | 1.5 GB |
| 160 | Qwen-Image-2.1-Turbo-GGUF | — | — | other | 1.4 M | 3.2 GB |
| 161 | gender-classification | 90 M | — | unknown | 1.3 M | 0.9 GB |
| 162 | gemma-4-26B-A4B-it-FP8-dynamic | 26.5 B | — | ✓ apache-2.0 | 1.3 M | 36.0 GB |
| 163 | Qwen3.8-35B-A3B-Distill-GGUF | 35.0 B | — | ✓ apache-2.0 | 1.3 M | 19.6 GB |
| 164 | Llama-3.2-1B-Instruct | 1.2 B | — | ⚠ llama3.2 | 1.3 M | 3.4 GB |
| 165 | ko-sroberta-multitask | 110 M | 512 | unknown | 1.3 M | 1.0 GB |
| 166 | w2v-bert-2.0 | 580 M | — | ✓ mit | 1.3 M | 3.1 GB |
| 167 | Qwen2.5-VL-7B-Instruct-AWQ | 8.3 B | 128 K | ✓ apache-2.0 | 1.3 M | 9.4 GB |
| 168 | wav2vec2-large-voxrex-swedish | 320 M | — | ✓ cc0-1.0 | 1.3 M | 1.9 GB |
| 169 | table-transformer-structure-recognition | 30 M | 1 K | ✓ mit | 1.3 M | 0.6 GB |
| 170 | F5-TTS | — | — | ✗ cc-by-nc-4.0 | 1.3 M | 5.0 GB |
| 171 | Qwen2.5-Coder-7B-Instruct | 7.6 B | 33 K | ✓ apache-2.0 | 1.3 M | 18.4 GB |
| 172 | Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive | — | — | ✓ apache-2.0 | 1.3 M | 13.3 GB |
| 173 | RealVisXL_V5.0 | 2.6 B | — | ⚠ openrail++ | 1.3 M | 46.7 GB |
| 174 | Ornith-1.5-397B-GGUF | — | — | ✓ mit | 1.3 M | 1.5 GB |
| 175 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 1.3 M | 0.6 GB |
| 176 | efficientvit_l2.r288_in1k | 64 M | — | ✓ apache-2.0 | 1.3 M | 0.8 GB |
| 177 | Qwen3.5-35B-A3B-FP8 | 36.0 B | — | ✓ apache-2.0 | 1.3 M | 47.1 GB |
| 178 | Flux-2-Klein-4B | 4.0 B | — | ✓ apache-2.0 | 1.3 M | 31.6 GB |
| 179 | Qwen3-ASR-1.7B-gguf | 1.7 B | — | ✓ apache-2.0 | 1.2 M | 2.2 GB |
| 180 | cohere-transcribe-03-2026-gguf | 2.1 B | — | ✓ apache-2.0 | 1.2 M | 2.5 GB |
| 181 | Qwen2.5-VL-7B-Instruct-NVFP4 | 5.0 B | 128 K | other | 1.2 M | 9.2 GB |
| 182 | Llama-3.2-1B-Instruct | 1.2 B | 131 K | ⚠ llama3.2 | 1.2 M | 3.4 GB |
| 183 | Qwen3-TTS-GGUF | — | — | ✓ apache-2.0 | 1.2 M | 1.8 GB |
| 184 | romanian-wav2vec2 | 320 M | — | ✓ apache-2.0 | 1.2 M | 1.9 GB |
| 185 | Qwen2.5-0.5B | 490 M | 33 K | ✓ apache-2.0 | 1.2 M | 1.7 GB |
| 186 | Ternary-Bonsai-2-9B-gguf | 9.0 B | — | ✓ apache-2.0 | 1.2 M | 2.9 GB |
| 187 | embeddinggemma-300m | 300 M | — | ⚠ gemma | 1.2 M | 1.9 GB |
| 188 | Qwen3.8-Flash-Next-Gyro-GGUF | 180.0 B | — | other | 1.2 M | 30.5 GB |
| 189 | gemma-4-26B-A4B-it-AWQ-4bit | 25.8 B | — | ✓ apache-2.0 | 1.1 M | 23.3 GB |
| 190 | Gemma-4-31B-IT-NVFP4 | 20.9 B | — | other | 1.1 M | 39.5 GB |
| 191 | parakeet-tdt-0.6b-v3-gguf | 600 M | — | ✓ cc-by-4.0 | 1.1 M | 1.1 GB |
| 192 | Qwen2.5-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 1.1 M | 13.7 GB |
| 193 | wav2vec2-large-xlsr-korean | 320 M | — | ✓ apache-2.0 | 1.1 M | 1.9 GB |
| 194 | Qwen3-0.6B | 752 M | 41 K | ✓ apache-2.0 | 1.1 M | 2.3 GB |
| 195 | Qwen3.8-27B-AWQ-INT4 | 27.8 B | — | ✓ apache-2.0 | 1.1 M | 27.8 GB |
| 196 | Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF | 27.0 B | — | ✓ apache-2.0 | 1.1 M | 12.9 GB |
| 197 | Higgs-Audio-v3-Studio | — | — | other | 1.1 M | 5.0 GB |
| 198 | gemma-4-31B-it-NVFP4 | 32.7 B | — | ✓ apache-2.0 | 1.1 M | 31.0 GB |
| 199 | Swift-1.5-Qwen3.8-27B-heretic-GSQ-RCO-GGUF | 27.0 B | — | other | 1.1 M | 5.6 GB |
| 200 | Ornith-1.5-9B-NVFP4 | 6.7 B | — | ✓ mit | 1.1 M | 11.2 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.