Expired60% confidenceBenchmarkExact time
On a 16 GB M4 Mac Mini, after loading Ornith 9B GGUF, 6.2 GB is used for model weights, and the maximum context length can reach 260,000 tokens.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/7/2026
First Seen
Valid until: 10/5/2026(expired)
Sources
Ornith 9B Tested: Can a 16GB Mac Mini Handle Local AI Coding?
bilibili四月的尾巴_7/4/2026
Related Claims
Unverified27B稠密模型在24GB M4 Pro Mac mini上使用4-bit量化可以运行，速度约为11 tok/s78% similarVerifiedAfter 4-bit quantization, Llama 3.3 70B has a model size of approximately 40 GB and can run on a Mac Studio with 64 GB of memory or a single professional GPU with 48 GB of VRAM.77% similarUnverifiedThe blogger ran Gemma 3 12B with no difficulty on a Mac Mini with 16 GB of RAM and an M2 Pro chip.73% similarUnverifiedUnder hardware conditions of 16 GB of memory, only models within 5 GB can be accommodated, so the developer used the Qwen 2.5 7B 4-bit quantized model, which is approximately 4.8 GB in size, with an 8K context window.72% similarUnverifiedThe BF16 weights of the 27B model are approximately 54GB (27B × 2 bytes).71% similar
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