Open-weight models that run on Apple M5 Pro (16-core GPU) · 24 GB
- Unified memory 24 GB
- Bandwidth 307 GB/s
- Usable 16.0 GB
Specs: Memory · MacBook Pro - Tech Specs - Apple · Bandwidth · MacBook Pro - Tech Specs - Apple
| Fit | Model | Parameters / active | Precision | Memory | Est. speed | Longest context | Runs as |
|---|---|---|---|---|---|---|---|
| ●Runs well | Gemma 4 26B A4B IT Google | 25.8B / 3.8B | IQ4_XS | 60–90 tok/s | 61K | Unified memory | |
| ●Runs well | ERNIE-4.5-21B-A3B-Thinking Baidu | 21.8B / 3B | Q4_K_M | 67–100 tok/s | 55K | Unified memory | |
| ●Runs well | GPT OSS 20B OpenAI | 20.9B / 3.6B | MXFP4 (native)maker’s file | 60–89 tok/s | 108K | Unified memory | |
| ●Runs well | Qwen2.5-14B-Instruct-1M Alibaba Qwen | 14.8B | Q5_K_M | 13–19 tok/s | 30K | Unified memory | |
| ●Runs well | Qwen2.5-14B-Instruct Alibaba Qwen | 14.8B | Q5_K_Mmaker’s file | 13–19 tok/s | 30K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Qwen-14B DeepSeek | 14.8B | Q5_K_M | 13–19 tok/s | 30K | Unified memory | |
| ●Runs well | Qwen3-14B Alibaba Qwen | 14.8B | Q5_K_Mmaker’s file | 13–19 tok/s | 36K | Unified memory | |
| ●Runs well | Gemma 3 12B IT Google | 12.2B | Q5_K_M | 13–20 tok/s | 21K | Unified memory | |
| ●Runs well | Qwen2.5-Omni-7B Alibaba Qwen | 10.7B | Q8_0 | 13–19 tok/s | 32K | Unified memory | |
| ●Runs well | GLM-4.6V-Flash Zhipu AI | 10.3B | Q8_0 | 14–20 tok/s | 125K | Unified memory | |
| ●Runs well | Qwen3.5-9B Alibaba Qwen | 9.7B | Q8_0 | 15–22 tok/s | 190K | Unified memory | |
| ●Runs well | Qianfan-VL-8B Baidu | 8.8B | Q8_0 | 15–22 tok/s | 32K | Unified memory | |
| ●Runs well | Granite Switch 4.1 8B IBM | 8.8B | Q8_0maker’s file | 13–20 tok/s | 37K | Unified memory | |
| ●Runs well | Qwen3-VL-8B-Instruct Alibaba Qwen | 8.8B | Q8_0maker’s file | 15–23 tok/s | 52K | Unified memory | |
| ●Runs well | Qwen3-VL-8B-Thinking Alibaba Qwen | 8.8B | Q8_0maker’s file | 15–23 tok/s | 52K | Unified memory | |
| ●Runs well | pplx-embed-v2-context-9b Perplexity | 8.4B | Q8_0 | 17–25 tok/s | 230K | Unified memory | |
| ●Runs well | Qwen2.5-VL-7B-Instruct Alibaba Qwen | 8.3B | Q8_0 | 17–25 tok/s | 125K | Unified memory | |
| ●Runs well | Qwen3-8B Alibaba Qwen | 8.2B | MLX 8bitmaker’s file | 16–24 tok/s | 128K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Llama-8B DeepSeek | 8B | Q8_0 | 16–24 tok/s | 60K | Unified memory | |
| ●Runs well | Gemma 4 E4B Google | 8B | Q8_0 | 18–27 tok/s | 125K | Unified memory | |
| ●Runs well | Ling-3.0-tiny Ant Group | 7.9B / 1.3B | Q8_0maker’s file | 95–143 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen2.5-7B-Instruct-1M Alibaba Qwen | 7.6B | Q8_0 | 18–27 tok/s | 145K | Unified memory | |
| ●Runs well | Qwen2.5-7B-Instruct Alibaba Qwen | 7.6B | Q8_0maker’s file | 18–27 tok/s | 32K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Qwen-7B DeepSeek | 7.6B | Q8_0 | 18–27 tok/s | 32K | Unified memory | |
| ●Runs well | Mistral-7B-Instruct-v0.1 Mistral AI | 7.2B | Q8_0 | 18–26 tok/s | 32K | Unified memory | |
| ●Runs well | Gemma 4 E2B Google | 5.1B | BF16 (native)maker’s file | 15–22 tok/s | 125K | Unified memory | |
| ●Runs well | WeVisOne-VL-4B Tencent | 4.8B | BF16 (native)maker’s file | 14–21 tok/s | 46K | Unified memory | |
| ●Runs well | Qianfan-OCR Baidu | 4.7B | BF16 (native)maker’s file | 14–22 tok/s | 31K | Unified memory | |
| ●Runs well | Qwen3.5-4B Alibaba Qwen | 4.7B | BF16 (native)maker’s file | 16–24 tok/s | 218K | Unified memory | |
| ●Runs well | Qwen3-VL-4B-Instruct Alibaba Qwen | 4.4B | BF16 (native)maker’s file | 15–23 tok/s | 51K | Unified memory | |
| ●Runs well | Qwen3-4B-Instruct-2507 Alibaba Qwen | 4B | BF16 (native)maker’s file | 17–25 tok/s | 57K | Unified memory | |
| ●Runs well | Qwen3-4B Alibaba Qwen | 4B | BF16 (native)maker’s file | 17–25 tok/s | 128K | Unified memory | |
| ●Runs well | DeepSeek-OCR DeepSeek | 3.3B | BF16 (native)maker’s file | 55–83 tok/s | 8K | Unified memory | |
| ●Runs well | Granite-4.0-H-Micro IBM | 3.2B | BF16 (native)maker’s file | 24–36 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen3-1.7B Alibaba Qwen | 2B | BF16 (native)maker’s file | 31–46 tok/s | 40K | Unified memory | |
| ●Runs well | DeepSeek-R1-Distill-Qwen-1.5B DeepSeek | 1.8B | BF16 (native)maker’s file | 41–61 tok/s | 125K | Unified memory | |
| ●Runs well | GLM-OCR Zhipu AI | 1.3B | BF16 (native)maker’s file | 48–72 tok/s | 128K | Unified memory | |
| ●Runs well | Qwen3-0.6B Alibaba Qwen | 0.8B | BF16 (native)maker’s file | 63–94 tok/s | 40K | Unified memory | |
| ●Runs well | EmbeddingGemma 2 Google | 0.7B | BF16 (native)maker’s file | 97–146 tok/s | 256K | Unified memory | |
| ●Runs well | Qwen3-Embedding-0.6B Alibaba Qwen | 0.6B | BF16 (native)maker’s file | 72–108 tok/s | 32K | Unified memory | |
| ●Runs well | bge-reranker-v2-m3 BAAI | 0.6B | FP32 (native)maker’s file | 50–75 tok/s | 8K | Unified memory | |
| ●Runs well | bge-m3-unsupervised BAAI | 0.6B | FP32 (native)maker’s file | 50–75 tok/s | 8K | Unified memory | |
| ●Runs well | bge-large-en-v1.5 BAAI | 0.3B | FP32 (native)maker’s file | 110–166 tok/s | 512 | Unified memory | |
| ●Runs well | bge-reranker-base BAAI | 0.3B | FP32 (native)maker’s file | 136–204 tok/s | 514 | Unified memory | |
| ●Runs well | bge-base-en-v1.5 BAAI | 0.1B | FP32 (native)maker’s file | 336–504 tok/s | 512 | Unified memory | |
| ●Runs well | bge-small-en-v1.5 BAAI | 0B | FP32 (native)maker’s file | 1074–1611 tok/s | 512 | Unified memory | |
| ◐Runs, slowly | Qwen3.5-27B Alibaba Qwen | 27.8B | Q4_0 | 9–14 tok/s | 11K | Unified memory | |
| ◐Runs, slowly | Qwen3.6-27B Alibaba Qwen | 27.8B | Q4_0 | 9–14 tok/s | 11K | Unified memory | |
| ◐Runs, slowly | Qwen3.8-27B Alibaba Qwen | 27.8B | Q4_0 | 9–14 tok/s | 11K | Unified memory | |
| ◐Runs, slowly | Magistral Small 1.2 Mistral AI | 24B | IQ4_XS | 11–16 tok/s | 22K | Unified memory | |
| ◐Runs, slowly | Devstral Small 1.0 Mistral AI | 23.6B | Q4_0 | 11–16 tok/s | 19K | Unified memory | |
| ◐Runs, slowly | Devstral Small 1.1 Mistral AI | 23.6B | Q4_0 | 11–16 tok/s | 19K | Unified memory | |
| ◐Runs, slowly | Magistral Small 1.0 Mistral AI | 23.6B | Q4_0 | 11–16 tok/s | 19K | Unified memory | |
| ◐Runs, slowly | Magistral Small 1.1 Mistral AI | 23.6B | Q4_0 | 11–16 tok/s | 19K | Unified memory |
Estimates from the makers’ Hugging Face repositories (as of 2026-11-06); filtered views aren’t indexed. How it’s estimated