Cloud vs Local LLMs collide in 2025. The debate centers on when to trust cloud hosting like Ollama Cloud with privacy claims, versus going fully on‑device for privacy, cost, and speed. Cloud models include: deepseek-v3.1:671b-cloud, gpt-oss:20b-cloud, gpt-oss:120b-cloud, kimi-k2:1t-cloud, qwen3-coder:480b-cloud, glm-4.6:cloud, minimax-m2:cloud.[1]
Cloud options and privacy claims The post suggests Ollama Cloud offers a hybrid setup with data privacy and security angles. It also notes Ollama’s claim of no logs or query history and local storage in container form, sparking ongoing debate about ToS and privacy details.[1]
Local WebUI and on‑device options Llama.cpp and its official WebUI bring a strong local path for those who want to keep inference on the device rather than in the cloud.[2] This shifts the cost and privacy equation toward hardware, not just hosting plans.
The private LLM value debate A long thread questions how much people truly value a private LLM. Privacy alone isn’t always enough to justify the hardware spend, even as some argue it’s increasingly important in a world of data traces and personalization.[3]
Low-RAM, hardware-aware locals For tiny on‑device setups, Granite 4.0 Tiny and Ling-mini-16Ba1B are highlighted, with quantization considerations around models like Qwen3-30B-A3B-Thinking-2507 to fit 1–7B ranges on limited RAM.[4]
GPU-heavy setups and practical picks On rigs with a RX 7900 GRE, folks mix in Ollama or llama.cpp for easy starts. For web-enabled, fast tool use, there are the Qwen3-30B-A3B-Thinking-2507-Q4KM-GGUF and Qwen3-30B-A3B-Thinking-2507-GGUF variants, often paired with interfaces like Cherry Studio to wire web search workflows.[5]
Bottom line: cloud is convenient and privacy claims vary; local inference wins for privacy-conscious setups that align with your hardware and use case. Watch for how hybrid models evolve, especially on mixed RAM and GPU environments.[5]
References
Ollama cloud
User explores Ollama Cloud model lineup, privacy claims, and trust concerns, weighing cloud versus local hosting and open-source options today.
View sourceLlama.cpp launches official WebUI for local LLMs
Llama.cpp adds official WebUI to manage local LLMs, easing setup and usage for local inference
View sourceHow much does the average person value a private LLM?
Discusses local vs cloud LLMs, privacy tradeoffs, cost, accessibility, apps, hardware, and likely user adoption trends, regulation scenarios in future.
View sourceweb model for a low ram device without dedicated GPU
User seeks tiny local LLMs (1-20B) with web/RAG, compares Granite variants, quantization, and asks for recommendations.
View sourceWhat is the best model application for RX 7900 GRE?
Newbie explores self-hosting LLMs on RX 7900 GRE, compares interfaces, candidate models, quantization, tools, and web search integrations for knowledge.
View source