Open Weights Don't Mean Locally Runnable
Mountain_Patience231 · reddit · 2026-07-17
This post vents frustrations about the recent wave of "open weight" LLM releases. While models like GLM-5.2 boast impressive parameter counts, context lengths, and licenses, they aren't actually "locally runnable" for the average user.
The author's main points are:
- 700B-scale MoE models are nearly impossible to fit into consumer hardware, even when quantized
- These releases feel more like marketing for cloud/API models that most people can "see but can't run"
- The community's previous focus on self-hosting, tinkering with llama.cpp, and quantization is being diluted by these ultra-large model discussions
While not denying the value of open weights, the author argues that for everyday users, these giant models are practically no different from closed-source alternatives.
Related event: Growing Open-Source Weights Spark Local Deployment Concerns(3 posts)→
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