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Based on our record, Blender should be more popular than llama.cpp. It has been mentiond 137 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Update, I just downloaded 3.6 LTS from the blender.org official site, they are asking for donations. This time, the URL stayed. Source: about 3 years ago
Hold up. When I go to blender.org then add the /thanks to the URL, it goes to that page, then immediately goes to a 404 right after. Interesting.... Source: about 3 years ago
This is oddly strange its the usual go to for me to download blender updates (i google blender and click the usual blender.org strange..). Source: about 3 years ago
If this is any other site than blender.org, you're at the wrong place. Source: about 3 years ago
Can't say much, here. But I use this to deliver what my clients need. Before you ask why I can't tell - anonymity through obscurity. Source: about 3 years ago
It's from https://github.com/ggml-org/llama.cpp -- not associated with Meta, it's been around for years, and surely they know about it -- so I would guess either it's not a trademark violation or they don't care. - Source: Hacker News / 23 days ago
Anything that suggests curl into bash just plain sketches me out. Git clone llama.cpp and build it, it's not hard. https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md literally just a few steps for the basics: git clone https://github.com/ggml-org/llama.cpp cmake -B build cmake --build build --config Release. - Source: Hacker News / 23 days ago
I was a bit suspicious of the url but it is also listed on llama.cpp github https://github.com/ggml-org/llama.cpp. - Source: Hacker News / 23 days ago
TurboFieldfare proves the idea beautifully, but it is a bespoke runtime: two supported models, Apple platforms only, custom kernels for everything. I wanted the same idea for the other cheap 8 GB machine on my desk, a Jetson Orin Nano, and I wanted it for any MoE model I could quantize. So instead of porting the runtime, I grafted the idea into llama.cpp, which already runs on the Jetson and already has... - Source: dev.to / about 1 month ago
Llama.cpp is a flexible runtime for GGUF models across CPU, CUDA, Metal, and other backends. - Source: dev.to / about 1 month ago
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Ollama - The easiest way to run large language models locally
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Ava PLS - Desktop app for running LLMs locally