@antirez: At this point DwarfStar contains many fast fused kernels for important model families: feel free to steal everything yo…
Summary
DwarfStar offers fast fused kernels for key model families, open-sourced under the MIT license to enhance AI implementations.
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@QuixiAI: https://x.com/QuixiAI/status/2068776183102067086
DwarfStar is a self-contained native inference engine optimized for DeepSeek V4 Flash and PRO models, supporting Metal, CUDA, and ROCm backends, with a focus on high-end personal machines and Mac Studios.
How to use this project?
DwarfStar is a specialized inference engine designed to run large language models like DeepSeek and GLM efficiently on consumer hardware, supporting multiple platforms and advanced features like SSD streaming.
@dhruvtwt_: Why is no one talking about this? @nvidia is offering around 80 AI models via hosted APIs absolutely for free. You get …
Nvidia quietly provides ~80 free hosted AI model APIs including MiniMax M2.7, GLM 5.1, Kimi 2.5, DeepSeek 3.2, GPT-OSS-120B, ready to integrate with popular dev tools like OpenClaude and Zed IDE.
@antirez: First kinda working implementation of GLM 5.2 in DwarfStar. Will take some time to be good enough, but it is a promisin…
Antirez reports the first working implementation of GLM 5.2 in DwarfStar, using a 433 GB GGUF file on an M3 Ultra with 512GB RAM, though it needs further refinement.
@RisingSayak: Found a faster kernel? You shouldn’t need to rewrite your model to use it. With Kernels, you can choose which kernel ru…
This Twitter thread introduces Hugging Face's Kernels, a tool that allows users to select and replace optimized kernel implementations for supported layers in AI models without rewriting the entire model.