1,011 models · refreshed nightly
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.
| # | Model | Params | Context | Commercial use | 30d | On Mac M4 Max · 64 GB |
|---|---|---|---|---|---|---|
| 201 | Qwen3-4B-Instruct-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 1.2 M | 6.9 GB |
| 202 | SmolVLM2-500M-Video-Instruct | 510 M | — | ✓ apache-2.0 | 1.2 M | 2.8 GB |
| 203 | surya-ocr-2 | 690 M | — | ⚠ openrail | 1.2 M | 2.1 GB |
| 204 | Qwen3-VL-30B-A3B-Instruct-AWQ | 31.1 B | — | ✓ apache-2.0 | 1.2 M | 24.8 GB |
| 205 | Qwen3-8B-AWQ | 8.2 B | 41 K | ✓ apache-2.0 | 1.1 M | 8.4 GB |
| 206 | Qwen3.6-35B-A3B-AWQ | 36.0 B | — | ✓ apache-2.0 | 1.1 M | 33.9 GB |
| 207 | e5-base-v2 | 110 M | 512 | ✓ mit | 1.1 M | 1.0 GB |
| 208 | bge-multilingual-gemma2 | 9.2 B | 8 K | ⚠ gemma | 1.1 M | 42.5 GB |
| 209 | bge-micro-v2 | 20 M | 512 | ✓ mit | 1.1 M | 0.5 GB |
| 210 | sdxl-turbo | 2.6 B | — | other | 1.1 M | 46.7 GB |
| 211 | Z-Image-Turbo | 6.2 B | — | ✓ apache-2.0 | 1.1 M | 37.5 GB |
| 212 | Phi-3.5-mini-instruct | 3.8 B | 131 K | ✓ mit | 1.1 M | 9.5 GB |
| 213 | Wav2Vec2-large-xlsr-hindi | 320 M | — | unknown | 1.1 M | 1.9 GB |
| 214 | clipseg-rd64-refined | 150 M | — | ✓ apache-2.0 | 1.1 M | 1.2 GB |
| 215 | all-roberta-large-v1 | 360 M | 512 | ✓ apache-2.0 | 1.1 M | 2.1 GB |
| 216 | SmolVLM-256M-Instruct | 260 M | — | ✓ apache-2.0 | 1.1 M | 1.1 GB |
| 217 | 1 | — | 2 K | unknown | 1.1 M | 0.5 GB |
| 218 | TinyLlama-1.1B-Chat-v0.3-GPTQ | 1.1 B | 2 K | ✓ apache-2.0 | 1.1 M | 1.5 GB |
| 219 | distiluse-base-multilingual-cased-v2 | 130 M | 512 | ✓ apache-2.0 | 1.1 M | 1.1 GB |
| 220 | wav2vec2-large-voxrex-swedish | 320 M | — | ✓ cc0-1.0 | 1.1 M | 1.9 GB |
| 221 | bge-small-en-v1.5 | 30 M | 512 | ✓ mit | 1.1 M | 0.7 GB |
| 222 | llava-onevision-qwen2-0.5b-ov-hf | 890 M | — | ✓ apache-2.0 | 1.1 M | 2.6 GB |
| 223 | nemotron-3.5-asr-streaming-0.6b | 640 M | — | other | 1.0 M | 1.4 GB |
| 224 | Qwen2.5-Coder-7B | 7.6 B | 33 K | ✓ apache-2.0 | 1.0 M | 18.4 GB |
| 225 | jina-embeddings-v2-small-en | 30 M | 8 K | ✓ apache-2.0 | 1.0 M | 0.6 GB |
| 226 | distiluse-base-multilingual-cased-v1 | 130 M | 512 | ✓ apache-2.0 | 1.0 M | 1.1 GB |
| 227 | Qwen3.5-9B-GGUF | — | — | ✓ apache-2.0 | 1.0 M | 5.2 GB |
| 228 | cohere-transcribe-03-2026 | 2.1 B | — | ✓ apache-2.0 | 1.0 M | 5.4 GB |
| 229 | cohere-transcribe-03-2026-gguf | — | — | ✓ apache-2.0 | 1,000 K | 2.2 GB |
| 230 | Qwen2-0.5B | 490 M | 131 K | ✓ apache-2.0 | 998 K | 1.7 GB |
| 231 | e5-base | 110 M | 512 | ✓ mit | 990 K | 1.0 GB |
| 232 | Qwen3.6-27B-MLX-8bit | 8.0 B | — | ✓ apache-2.0 | 983 K | 34.2 GB |
| 233 | repeat | — | — | unknown | 975 K | 0.5 GB |
| 234 | roberta-base-go_emotions | 120 M | 512 | ✓ mit | 968 K | 1.1 GB |
| 235 | Qwen3-1.7B-Base | 1.7 B | 33 K | ✓ apache-2.0 | 961 K | 4.5 GB |
| 236 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 945 K | 47.2 GB |
| 237 | Ornith-1.0-35B-FP8 | 35.1 B | — | ✓ mit | 945 K | 47.2 GB |
| 238 | Qwen3.6-27B-MLX-4bit | 4.7 B | — | ✓ apache-2.0 | 942 K | 18.9 GB |
| 239 | MiniCPM-V-4.6 | 1.3 B | — | ✓ apache-2.0 | 942 K | 3.6 GB |
| 240 | robertuito-sentiment-analysis | 110 M | 128 | unknown | 940 K | 1.0 GB |
| 241 | Gemma-4-E4B-Uncensored-HauhauCS-Aggressive | — | — | ⚠ gemma | 937 K | 5.4 GB |
| 242 | UAE-Large-V1 | 340 M | 512 | ✓ mit | 928 K | 2.0 GB |
| 243 | MiniCPM5-1B | 1.1 B | 131 K | ✓ apache-2.0 | 926 K | 3.0 GB |
| 244 | Qwen2.5-7B | 7.6 B | 131 K | ✓ apache-2.0 | 924 K | 18.4 GB |
| 245 | Qwen3.5-35B-A3B-FP8 | 36.0 B | — | ✓ apache-2.0 | 924 K | 47.1 GB |
| 246 | LocateAnything-3B | 3.8 B | — | other | 923 K | 9.5 GB |
| 247 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 923 K | 0.9 GB |
| 248 | Qwythos-9B-Claude-Mythos-5-1M-GGUF | — | — | ✓ apache-2.0 | 922 K | 7.0 GB |
| 249 | InternVL2-1B | 940 M | — | ✓ mit | 920 K | 2.7 GB |
| 250 | distilbert-base-multilingual-cased-sentiments-student | 140 M | 512 | ✓ apache-2.0 | 917 K | 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.