I use oobabooga, little bit more options in the gguf space then ollama but not as easy to use imo. Does support openAI api connection though so can plug in other services to use it.
Ollama is apparently going for lock-in and incompatibility. They’re forking llama.cpp for some reason, too. I’d use GPT4All or llama.cpp directly. They support Vulkan, too, so your GPU will just work.
So, prosumers, leveraging computers that are not optimized for AI workloads, being limited to models that are typically inferior to commercial ones, are wasting more energy for even more slop?
That’s the price of privacy I am currently paying.
There was, however, a video from The Hated One, that presents a different perspective on this. Maybe privacy is more environment friendly than we think.
A lot of energy is wasted on data collection and analysis for advertising. Devices with modified firmwares, like LineageOS and GrapheneOS, do not collect such data, reducing the load on analysis servers.
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Home grown slop is still slop. The lying machine can’t make anything else.
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What LLM you using?
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I use oobabooga, little bit more options in the gguf space then ollama but not as easy to use imo. Does support openAI api connection though so can plug in other services to use it.
Ollama is apparently going for lock-in and incompatibility. They’re forking llama.cpp for some reason, too. I’d use GPT4All or llama.cpp directly. They support Vulkan, too, so your GPU will just work.
Hm, I’ll see if my laptop can handle it. Probably do t have the patience or processing power
So, prosumers, leveraging computers that are not optimized for AI workloads, being limited to models that are typically inferior to commercial ones, are wasting more energy for even more slop?
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That’s the price of privacy I am currently paying.
There was, however, a video from The Hated One, that presents a different perspective on this. Maybe privacy is more environment friendly than we think.
A lot of energy is wasted on data collection and analysis for advertising. Devices with modified firmwares, like LineageOS and GrapheneOS, do not collect such data, reducing the load on analysis servers.