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// 81d agoTUTORIAL
Local LLM Lab benchmarks Qwen on Macs
Local LLM Lab is an open-source GitHub notebook series for Apple Silicon that uses MLX to run and compare multiple Qwen3.5 models side by side, covering streaming output, tok/s, time-to-first-token, memory bandwidth, tokenization, embeddings, prompting, and model architecture. It turns local LLM experimentation into a reproducible learning lab instead of a pile of one-off scripts.
// ANALYSIS
This is the kind of tutorial project AI developers actually need: hands-on, opinionated, and grounded in real hardware constraints instead of leaderboard hype.
- –Auto-detecting MLX servers across ports 8800-8809 makes the notebooks easy to adapt to different local model setups
- –Covering tok/s, bandwidth, quantization, and KV-cache mechanics gives developers performance intuition they can reuse beyond Qwen
- –Running 2B through 122B Qwen variants on a 128 GB Mac Studio makes Apple Silicon local inference feel practical, not just experimental
- –The repo is more than a walkthrough: it includes smoke tests and notebook validation, which raises it above typical “here’s my notebook” posts
// TAGS
local-llm-labllminferencebenchmarkopen-source
DISCOVERED
81d ago
2026-03-07
PUBLISHED
81d ago
2026-03-07
RELEVANCE
8/ 10
AUTHOR
Snoo_27681