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It's a standard. |
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We were interested in Llamafile due to the improvements it offered with CPU only inferencing. It's still not that easy to find GPUs and you'd have to deal with various licensing issues with a well known GPU provider. As Llamafile upstreamed its improvements to Llama.cpp, we started using Llama.cpp instead as activity had died down here. Llamafile is still much easier to deploy and use and we're happy to use and contribute what we can here. |
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I like it for use cases like games where I want to use LLMs. It allows me to distribute without needing to know hardly anything about the environment where it is being deployed. |
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Please make program or hacking echo for assistent.
all offline, all on my local computer/device (like a mycroft). all in my language |
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To me, the Llamafile project has always been hugely interesting and entertaining. There are not many projects that are so original and innovative. Llamafile is one of a kind. Even though I’ve been using it less often lately, I still think it has great potential. I used it to test all sorts of open-source models and configurations. I especially like its ease of use on any platform and the fact that it can be run as a server. It has provided fast local inference for my CPU-only machine. Whisperfiles are a great example of what Llamafile can achieve: even today, year-old Whisperfiles remain far more efficient than newer models in the same category (such as quantized versions of Voxtral, for example). Llamafile also has significant didactic value when you’re learning about AI. It helped me understand how LLMs behave and encouraged me to experiment. With the rapid progress of coding powertools, I’m confident that further improvements and new features could be added to Llamafile. For example, what about giving Llamafile agentic loop abilities, like a kind of 100% local self-contained Claude Code? |
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