1,000 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 |
|---|---|---|---|---|---|---|
| 401 | Bielik-11B-v3.0-Instruct | 11.2 B | — | ✓ apache-2.0 | 450 K | 26.7 GB |
| 402 | BioLORD-2023 | 110 M | 512 | other | 446 K | 1.0 GB |
| 403 | Qwen3-4B-AWQ | 4.0 B | 41 K | ✓ apache-2.0 | 445 K | 4.0 GB |
| 404 | Bangla-twoclass-Sentiment-Analyzer | 280 M | 512 | ✓ mit | 443 K | 1.8 GB |
| 405 | Phi-4-mini-instruct | 3.8 B | 131 K | ✓ mit | 442 K | 9.5 GB |
| 406 | stable-diffusion-v1-4 | 860 M | — | ⚠ creativeml-openrail-m | 438 K | 13.5 GB |
| 407 | Qwen3-TTS-12Hz-0.6B-Base | 910 M | — | ✓ apache-2.0 | 435 K | 3.4 GB |
| 408 | GetphatFLUXRealityNSFW | — | — | unknown | 434 K | 26.7 GB |
| 409 | gemma-2-9b-it | 9.2 B | — | ⚠ gemma | 434 K | 22.2 GB |
| 410 | Qwen3-8B-Base | 8.2 B | 33 K | ✓ apache-2.0 | 433 K | 19.7 GB |
| 411 | Olmo-3-7B-Instruct | 7.3 B | 66 K | ✓ apache-2.0 | 429 K | 17.7 GB |
| 412 | Qwen2.5-3B-Instruct-unsloth-bnb-4bit | 3.2 B | 33 K | ✓ apache-2.0 | 428 K | 3.6 GB |
| 413 | japanese-gpt-neox-small | 200 M | 2 K | ✓ mit | 426 K | 1.3 GB |
| 414 | Qwen2.5-Coder-14B-Instruct-AWQ | 14.8 B | 33 K | ✓ apache-2.0 | 425 K | 13.7 GB |
| 415 | LLaDA-8B-Instruct | 8.0 B | — | ✓ mit | 425 K | 19.3 GB |
| 416 | Nemotron-Labs-Diffusion-8B-Base | 8.5 B | 4 K | other | 424 K | 20.5 GB |
| 417 | vit_tiny_r_s16_p8_224.augreg_in21k | 10 M | — | ✓ apache-2.0 | 423 K | 0.5 GB |
| 418 | Qwen2.5-14B-Instruct | 14.8 B | 33 K | ✓ apache-2.0 | 416 K | 35.2 GB |
| 419 | Voxtral-Mini-4B-Realtime-2602-gguf | — | — | ✓ apache-2.0 | 416 K | 3.6 GB |
| 420 | CodeLlama-7b-hf | 6.7 B | 16 K | ⚠ llama2 | 414 K | 16.3 GB |
| 421 | deid_roberta_i2b2 | 350 M | 512 | ✓ mit | 412 K | 2.1 GB |
| 422 | Qwen2.5-1.5B-apeach | 1.5 B | 131 K | unknown | 411 K | 7.5 GB |
| 423 | saiga_llama3_8b | 8.0 B | 8 K | other | 411 K | 19.4 GB |
| 424 | granite-speech-4.1-2b | 2.3 B | — | ✓ apache-2.0 | 409 K | 6.2 GB |
| 425 | Zamba2-1.2B-instruct | 1.2 B | 4 K | ✓ apache-2.0 | 408 K | 6.0 GB |
| 426 | audiobox-aesthetics | 100 M | — | ✓ cc-by-4.0 | 407 K | 1.0 GB |
| 427 | Qwen3-14B-FP8 | 14.8 B | 41 K | ✓ apache-2.0 | 406 K | 20.7 GB |
| 428 | Qwen3-ForcedAligner-0.6B | 920 M | — | ✓ apache-2.0 | 404 K | 2.7 GB |
| 429 | rtdetr_r101vd_coco_o365 | 80 M | — | ✓ apache-2.0 | 404 K | 0.9 GB |
| 430 | EXAONE-3.5-7.8B-Instruct-AWQ | 7.8 B | 33 K | other | 401 K | 7.5 GB |
| 431 | Meta-Llama-3.1-8B-Instruct | 8.0 B | 131 K | ⚠ llama3.1 | 398 K | 19.4 GB |
| 432 | Vikhr-Nemo-12B-Instruct-R-21-09-24 | 12.3 B | 1.0 M | ✓ apache-2.0 | 394 K | 30.8 GB |
| 433 | wav2vec2-large-xlsr-kazakh | 320 M | — | ✓ apache-2.0 | 386 K | 1.9 GB |
| 434 | s2-pro | 4.6 B | — | other | 383 K | 11.2 GB |
| 435 | MOSS-TTS | 8.5 B | — | ✓ apache-2.0 | 375 K | 20.5 GB |
| 436 | playground-v2.5-1024px-aesthetic | 2.6 B | — | other | 373 K | 46.7 GB |
| 437 | DeepSeek-R1-Distill-Llama-8B | 8.0 B | 131 K | ✓ mit | 372 K | 19.4 GB |
| 438 | mistral-7b-v0.3-bnb-4bit | 7.5 B | 33 K | ✓ apache-2.0 | 368 K | 6.2 GB |
| 439 | higgs-tts-2-3b-base | 5.8 B | 2 K | other | 368 K | 14.1 GB |
| 440 | Ilama-3.2-1B | 1.2 B | 131 K | unknown | 365 K | 6.1 GB |
| 441 | bert-small-pii-detection | 30 M | 512 | ✓ apache-2.0 | 363 K | 0.6 GB |
| 442 | convnext_femto.d1_in1k | 10 M | — | ✓ apache-2.0 | 363 K | 0.5 GB |
| 443 | Apertus-8B-Instruct-2509 | 8.1 B | 66 K | ✓ apache-2.0 | 362 K | 19.4 GB |
| 444 | gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF | — | — | ✓ apache-2.0 | 358 K | 1.4 GB |
| 445 | segformer-b0-finetuned-ade-512-512 | 0 M | — | other | 357 K | 0.5 GB |
| 446 | multilingual-sentiment-analysis | 140 M | 512 | ✗ cc-by-nc-4.0 | 353 K | 1.1 GB |
| 447 | Fanar-1-9B-Instruct | 8.8 B | 4 K | ✓ apache-2.0 | 353 K | 21.1 GB |
| 448 | Qwen3-4B-Thinking-2507 | 4.0 B | 262 K | ✓ apache-2.0 | 347 K | 10.0 GB |
| 449 | Apertus-70B-Instruct-2509-quantized.w4a16 | 11.3 B | 66 K | ✓ apache-2.0 | 346 K | 46.0 GB |
| 450 | gpt-oss-20b-MXFP4-Q8 | 20.9 B | 131 K | ✓ apache-2.0 | 344 K | 16.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.