Topic: convert

7 stories found

Tuesday, November 3, 2026

trending36

xAI installs eight converted jet engines to power Mississippi data center

xAI installed eight converted jet engines to power a new data center in Mississippi, aiming to leverage the high efficiency of jet engine technology for more sustainable data center operations. This move is significant as it could set a precedent for greener solutions in the tech industry, reducing overall energy consumption and carbon emissions.

tomshardware.comโ†—

Friday, October 30, 2026

releases48

ggml/llama.cpp releases: b12000

The ggml/llama.cpp project released version b12000 with support for OCP FP8 E4M3 optimization and fixes in type-checking and data conversion, aiming to enhance performance and compatibility. This update is significant as it improves handling of specific model conversions, potentially boosting efficiency in AI model deployment.

github.comโ†—

Thursday, October 29, 2026

releases48

ggml/llama.cpp releases: b11988

The ggml/llama.cpp project added support for the Limite 1B model, enhancing its capabilities with updates to the gguf-py library and conversion tools. This update is significant as it broadens the model's availability and usability for users interested in the Limite architecture.

github.comโ†—

Wednesday, October 28, 2026

releases2 sourcesโšก Corroborated48

ggml/llama.cpp releases: b11945

The ggml/llama.cpp project has updated to include new models LiquidAI/d1-2B and LiquidAI/d1-omni-2B, expanding its model offerings. These updates are significant as they enhance the project's capabilities in handling speech tasks and provide more options for users interested in these specific models.

Covered by ggml/llama.cpp releases

Sunday, October 25, 2026

releases48

ggml/llama.cpp releases: b11886

The ggml/llama.cpp project released a new version (b11886) that includes changes to merge tensors during conversion, use generator functions in the conversion process, and remove constants and pre-scaling for qwen4exp. These updates aim to improve tensor handling and efficiency in model conversions.

github.comโ†—

๐ŸŒฟ That's all for now. Come back tomorrow.

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