A user has benchmarked the performance of several large language models, including Qwen and Nemotron variants, on a 2021 MacBook Pro with an M1 Pro chip and 16GB of RAM. The benchmarks, conducted using the Kapitsa inference engine optimized for Apple Silicon, measured decoding and prefill speeds for models ranging from 4B to 35B parameters. The results indicate that even older MacBook models can effectively run these models for coding tasks, with specific optimizations for Apple's Metal kernels. AI
IMPACT Demonstrates the capability of consumer-grade hardware to run increasingly powerful open-source LLMs for coding tasks.
RANK_REASON User-generated benchmark of open-source models running on consumer hardware.
- Kapitsa
- MacBook M1 Pro
- Nemotron
- Nemotron Dory 4B
- Nemotron Nano 9B
- Nemotron Nano v2
- Qwen
- Qwen3.5 4B
- Qwen 35B
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