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juiceb0xc0de

85 45 239

https://github.com/JuiceB0xC0de

AI & ML interests

Language models: Teaching pragmatic nuance to considerate linear algebra. Observing the process a machine uses to interpret encoded character data into machine language. If we learn to speak the language of predictions, do we become a society of oracles?

Recent Activity

new activity about 4 hours ago

juiceb0xc0de/Groot-19B-A3B-261023-GGUF:like your work, but how can we check and be sure about conversion quality?

posted an update about 5 hours ago

🦙 llama.cpp hit v1.0.0, so I built it a party https://huggingface.co/spaces/juiceb0xc0de/BYOGGUF: Bring Your Own GGUF. Paste any public model repo, pick a quant, and chat with it on an RTX PRO 6000 Blackwell through ZeroGPU, on the minutes your account already has (5 a day free, 40 on PRO). If you don’t have a GGUF, the Space will make you one. Sign in, point it at any public safetensors or GGUF repo, pick your quant types, and it converts and quantizes on CPU, so it costs you no GPU quota. The finished quants land in your own account with a model card, and one button takes them straight into the chat room. Something the size of Qwen3.8-27B is fine. Anything up to 48 GB runs on half the card at the normal rate; bigger models get the full 96 GB and burn minutes twice as fast. Public, ungated repos only. Native CUDA 13 binaries for Blackwell, built on the first stable llama.cpp.

published a dataset about 5 hours ago

juiceb0xc0de/s5-nano-cgs-english-atlas

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🦙 llama.cpp hit v1.0.0, so I built it a party

juiceb0xc0de/BYOGGUF: Bring Your Own GGUF. Paste any public model repo, pick a quant, and chat with it on an RTX PRO 6000 Blackwell through ZeroGPU, on the minutes your account already has (5 a day free, 40 on PRO).

If you don’t have a GGUF, the Space will make you one. Sign in, point it at any public safetensors or GGUF repo, pick your quant types, and it converts and quantizes on CPU, so it costs you no GPU quota. The finished quants land in your own account with a model card, and one button takes them straight into the chat room. Something the size of Qwen3.8-27B is fine.

Anything up to 48 GB runs on half the card at the normal rate; bigger models get the full 96 GB and burn minutes twice as fast. Public, ungated repos only. Native CUDA 13 binaries for Blackwell, built on the first stable llama.cpp.