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HARDWARE / UNIFIED MEMORY

Apple silicon · 16 GB

A polished 4B–8B local experience when the OS and apps have enough headroom.

M-series notebook16 GB
01 / PRACTICAL CEILING

Qwen3 14B

The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked Comodo 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. The bundled mlx_lm.server is an OpenAI-compatible HTTP endpoint (default 127.0.0.1:8080), but upstream warns it implements only basic security checks and is not recommended for production.

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03 / MODEL ENVELOPE

Modelli open-weight rappresentativi

Alibaba Qwen

Qwen3 14B

14BGGUF Q4
Memoria stimata
~11.2 GB
Contesto
32K+
Google

Gemma 3 12B

12BINT4
Memoria stimata
~9.4 GB
Contesto
128K
Alibaba Qwen

Qwen3 8B

8BGGUF Q4
Memoria stimata
~6.8 GB
Contesto
32K+
Alibaba Qwen

Qwen3 4B

4BGGUF Q4
Memoria stimata
~3.6 GB
Contesto
32K+
Google

Gemma 3 4B

4BINT4 / GGUF Q4
Memoria stimata
~4.2 GB
Contesto
128K
Meta

Llama 3.2 3B

3BGGUF Q4
Memoria stimata
~2.8 GB
Contesto
128K
Attenzione

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 14B (Al limite), Gemma 3 12B (Al limite), Qwen3 8B (Comodo), Qwen3 4B (Comodo), Gemma 3 4B (Comodo), Llama 3.2 3B (Comodo).