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User considers upgrading to 128GB M5 Max to run improved Qwen 27B models locally, noting near-Opus-4.5-level performance.
Hermes Agent, an open-source model with 100k+ usage, is being adopted in enterprise tooling like Atomic Bot, demonstrating the OSS-to-enterprise pipeline and preference for local, key-owned, open stacks.
Anthropic removed Claude Code from the Pro plan, prompting users to consider cheaper alternatives like Kimi K2.6 and local Qwen models.
Benchmark of 9 quantized local LLMs running MLX on a flight-combat HTML prompt shows quant provider choice and model quirks matter more than parameter count or bit-width for usable code output.
A developer tested the same Qwen3.5-9B Q4 model weights under two different scaffolds on the Aider Polyglot benchmark, finding that a scaffold adapted for small local models (little-coder) achieved 45.56% vs 19.11% for vanilla Aider — suggesting coding-agent benchmark results reflect scaffold-model fit as much as model capability.
A user reports achieving impressive results with Qwen 3.6 35B running a 'Browser OS' implementation locally, highlighting the model's capability for complex task execution without cloud dependencies.