1,000 models · refreshed nightly
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.
| # | Model | Params | Context | Commercial use | 30d | On Mac M3 · 24 GB |
|---|---|---|---|---|---|---|
| 401 | ai-image-detector-dev-deploy | 200 M | — | unknown | 241 K | 2.2 GB |
| 402 | table-transformer-structure-recognition-v1.1-all | 30 M | — | ✓ mit | 240 K | 0.6 GB |
| 403 | Qwen3-8B-GGUF | — | — | ✓ apache-2.0 | 239 K | 6.0 GB |
| 404 | tiny_starcoder_py | 160 M | — | bigcode-openrail-m | 238 K | 1.2 GB |
| 405 | Qwen2.5-3B-Instruct-AWQ | 3.4 B | 33 K | other | 238 K | 4.0 GB |
| 406 | pythia-14m | 10 M | 2 K | ✓ apache-2.0 | 237 K | 0.5 GB |
| 407 | internlm2-1_8b-reward | 1.7 B | 33 K | other | 236 K | 4.5 GB |
| 408 | convnext_base.fb_in22k_ft_in1k | 90 M | — | ✓ apache-2.0 | 236 K | 0.9 GB |
| 409 | Qwen2.5-Coder-14B-Instruct-GPTQ-Int4 | 14.8 B | 33 K | ✓ apache-2.0 | 234 K | 13.7 GB |
| 410 | layoutreader | 360 M | 514 | ✗ cc-by-nc-sa-4.0 | 234 K | 1.3 GB |
| 411 | gliner_multi-v2.1 | 290 M | — | ✓ apache-2.0 | 234 K | 1.8 GB |
| 412 | Llama-3.2-1B-Instruct-Q8_0-GGUF | — | — | unknown | 233 K | 2.0 GB |
| 413 | distilbert-NER | 70 M | 512 | ✓ apache-2.0 | 231 K | 0.8 GB |
| 414 | Phi-3-vision-128k-instruct | 4.2 B | 131 K | ✓ mit | 231 K | 10.2 GB |
| 415 | TinyLLama-v0 | 0 M | 2 K | ✓ apache-2.0 | 226 K | 0.5 GB |
| 416 | LFM2.5-1.2B-Instruct-GGUF | — | — | other | 226 K | 1.3 GB |
| 417 | Qwen2.5-14B-bnb-4bit | 15.2 B | 131 K | ✓ apache-2.0 | 224 K | 13.7 GB |
| 418 | Qwen3.6-35B-A3B-DFlash | 390 M | 262 K | ✓ apache-2.0 | 224 K | 1.4 GB |
| 419 | Qwen3-4B-GGUF | — | — | unknown | 223 K | 2.3 GB |
| 420 | vlt5-base-keywords | 280 M | — | ✓ cc-by-4.0 | 223 K | 1.8 GB |
| 421 | gemma-4-12b-heretic-abliterated-GGUF | — | — | ✓ apache-2.0 | 219 K | 0.7 GB |
| 422 | Gemma-4-E4B-DECKARD-HERETIC-NVFP4 | 6.2 B | — | ⚠ gemma | 217 K | 12.6 GB |
| 423 | Meta-Llama-3.1-8B-FP8 | 8.0 B | 131 K | ⚠ llama3.1 | 216 K | 11.7 GB |
| 424 | Mistral-7B-Instruct-v0.1 | 7.2 B | 33 K | ✓ apache-2.0 | 216 K | 17.5 GB |
| 425 | dvine82-xl | 2.6 B | — | unknown | 213 K | 8.5 GB |
| 426 | SmolLM2-1.7B-Instruct | 1.7 B | 8 K | ✓ apache-2.0 | 213 K | 4.5 GB |
| 427 | Mistral-7B-Instruct-v0.3-AWQ | 7.3 B | 33 K | ✓ apache-2.0 | 212 K | 6.2 GB |
| 428 | IP-Adapter-FaceID | — | — | unknown | 210 K | 1.5 GB |
| 429 | t5-large | 740 M | — | ✓ apache-2.0 | 210 K | 3.9 GB |
| 430 | Ornith-1.0-35B-GGUF | — | — | ✓ mit | 203 K | 12.1 GB |
| 431 | xflux_text_encoders | 4.8 B | — | ✓ apache-2.0 | 203 K | 11.7 GB |
| 432 | Qwen2.5-Coder-1.5B | 1.5 B | 33 K | ✓ apache-2.0 | 200 K | 4.1 GB |
| 433 | gemma-1.1-2b-it | 2.5 B | — | ⚠ gemma | 200 K | 6.4 GB |
| 434 | Qwen2.5-1.5B-Instruct-GGUF | — | — | ✓ apache-2.0 | 199 K | 1.3 GB |
| 435 | Qwen1.5-0.5B-Chat | 620 M | 33 K | other | 199 K | 2.0 GB |
| 436 | aya-expanse-8b-AWQ | 9.1 B | 8 K | gpl-3.0 | 198 K | 10.5 GB |
| 437 | Qwen3-4B-Thinking-2507-FP8 | 4.4 B | 262 K | ✓ apache-2.0 | 197 K | 6.9 GB |
| 438 | Qwen2.5-Coder-32B-Instruct-GGUF | — | — | ✓ apache-2.0 | 197 K | 9.1 GB |
| 439 | PowerLM-3b | 3.5 B | 4 K | ✓ apache-2.0 | 195 K | 16.5 GB |
| 440 | OLMoE-1B-7B-0924 | 6.9 B | 4 K | ✓ apache-2.0 | 192 K | 16.8 GB |
| 441 | pythia-160m-deduped | 210 M | 2 K | ✓ apache-2.0 | 191 K | 0.9 GB |
| 442 | Qwen2.5-Coder-7B-Instruct-GGUF | — | — | ✓ apache-2.0 | 189 K | 3.8 GB |
| 443 | Llama-3.2-3B-Instruct | 3.2 B | 131 K | ⚠ llama3.2 | 188 K | 8.0 GB |
| 444 | Qwen3-0.6B-GGUF | — | — | unknown | 186 K | 0.9 GB |
| 445 | Sugoi-14B-Ultra-GGUF | — | — | ✓ apache-2.0 | 185 K | 6.8 GB |
| 446 | Qwen2.5-3B-Instruct-GGUF | — | — | other | 185 K | 2.0 GB |
| 447 | Qwen3-14B-GGUF | — | — | unknown | 184 K | 6.8 GB |
| 448 | openai-gpt | 120 M | — | ✓ mit | 183 K | 1.0 GB |
| 449 | novaAnimeXL_ilV140 | 2.6 B | — | unknown | 183 K | 16.1 GB |
| 450 | Qwen3-4B-unsloth-bnb-4bit | 4.1 B | 41 K | ✓ apache-2.0 | 183 K | 5.0 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.