Expired60% confidenceBenchmarkExact time
Ornith 35B (4-bit MLX) generates at approximately 100 tokens/second on a Mac Studio, nearly 5 times faster than the 9B on a Mac Mini.
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
UnverifiedOn a 16 GB Mac Mini, Ornith 9B generates at approximately 16 tokens/second for simple requests.83% similarUnverifiedLing 3.0 Tiny achieves an inference speed of approximately 86–90 tokens per second on a MacBook with M4 Pro, with a peak memory usage of approximately 8.34 GiB under an 8K context.80% similarUnverified27B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/s72% similarUnverifiedIn benchmark testing on an AMD RX 7900 GPU, Ornith 35B achieved an overall accuracy of 85% (18 out of 21 passed), a generation speed of 74 tokens/s, a prompt processing speed of 850 tokens/s, and a VRAM usage of 20 GB.71% similarUnverifiedOn 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.71% similar
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