Alright, so I just got OrcaSAQ-2-27B (Qwen3.8-27B quantized by orcarouter) up and running on an Nvidia P100.
Obviously, performance isn't the greatest, but I honestly didn't expect to run a modern-architecture model using trellis-based quantization on a 2016 GPU with no Tensor
Jina released a new OCR model aimed at reading difficult pages faster and more accurately.
They started with DeepSeek OCR, trained it more on difficult scans, tables, and formulas, and collected and generated examples of the mistakes it made. They gave partial credit for
Glm 5.3 prime vs mimo v2.6 pro vs deepseek v4.1 flash
A yacht, a jet and a race car each, built file by file the setup: one prompt per scene. the model plans first – concept, shot list, a file manifest with no file over ~350 lines – then writes the project one file per
I made a game using deepseek. I was able to leave the troublesome debugging to me. The icon is hard to see because the size is small.
I learned a lot about how to handle blinds. (UFM of MAX10)
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