HARDWARE / UNIFIED MEMORY

MacBook Pro M5 Max · 64 GB

A portable Apple-native tier for larger quantized models. Sustained inference still depends on thermals, runtime support, and context length.

Source primaire

Current Apple notebook64 GB

01 / PRACTICAL CEILING

Qwen3.8 Flash Next REAP-288

The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked Comfortable and keep context modest.

02 / DEFAULT RUNTIME

MLX LM

Native Apple silicon inference, experimentation and fine-tuning. Only for Apple silicon. Use an MLX-converted model and tune KV cache size for long contexts.

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03 / MODEL ENVELOPE

Modèles open-weight représentatifs

Community REAP build

Qwen3.8 Flash Next REAP-288

176BREAP-288 · MLX 4-bit · PLE on NVMe

Mémoire estimée: ~40.57 GB
Contexte: 7.6K recommended on measured 48 GB Mac

Llama 3.1 70B

70BGGUF Q4

Mémoire estimée: ~46 GB
Contexte: 128K

Alibaba Qwen

Qwen3.6 35B-A3B

35B3B active · Q4 / NVFP4 MoE

Mémoire estimée: ~25 GB
Contexte: 262K native

Alibaba Qwen

Qwen3 32B

32BGGUF Q4

Mémoire estimée: ~24.5 GB
Contexte: 32K+

Alibaba Qwen

Qwen3 30B-A3B

30B3B active · GGUF Q4 MoE

Mémoire estimée: ~22.5 GB
Contexte: 32K+

Alibaba Qwen

Qwen3.6 27B

27BQ4 / NVFP4 estimate

Mémoire estimée: ~18.5 GB
Contexte: 262K native

Attention

Fit is based on estimated total model memory. Driver support, KV cache, multimodal projectors, concurrency, and desktop applications can all reduce available headroom. Current fit: Qwen3.8 Flash Next REAP-288 (Tight), Llama 3.1 70B (Tight), Qwen3.6 35B-A3B (Comfortable), Qwen3 32B (Comfortable), Qwen3 30B-A3B (Comfortable), Qwen3.6 27B (Comfortable).