PocketClawvol. 1 · 2026

Local LLM

Language model running on local hardware rather than via cloud API. Llama, Qwen, Mistral local variants.

Local LLMs in 2026 trail Claude and GPT-4 noticeably on multi-step agentic tasks but are competitive for many simpler workloads. Hardware requirements are real — 64 GB unified memory minimum for usable 70B-class models. The privacy and cost-at-scale benefits make local LLMs the right choice for specific workloads.

Related terms

OllamaZeroClawSelf-hosted AI

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