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Local AI slide deck covers prefill, decode and quantization with llama.cpp

The creator says it also covers MoE versus dense models and VRAM versus unified memory, and welcomes reuse with attribution.

merveME
Hugging FaceHF
2 Sources, 1h ago, first seen 1h ago

TLDR

A user says they released a local AI slide deck covering prefill versus decode, MoE versus dense models, VRAM versus unified memory, quantization and speculative decoding, all with llama.cpp. They invite others to reuse it with attribution.

Combined views

7.8K

2 Sources, first seen 1h ago

123 likes17 comments100 saves23 reposts

Combined views

7.8K

2 Sources, first seen 1h ago

123 likes17 comments100 saves23 reposts

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Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

2 Sources

merve@mervenoyannreleasing my local AI slide deck covers from prefill vs decode, MoE vs dense, VRAM vs unified memory, quantization to speculative decoding, everything with llama.cpp feel free to reuse with attribution1h
Hugging Face@huggingfaceRT @mervenoyann: releasing my local AI slide deck covers from prefill vs decode, MoE vs dense, VRAM vs unified memory, quantization to spe…1h
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    2 Sources

    merve@mervenoyannreleasing my local AI slide deck covers from prefill vs decode, MoE vs dense, VRAM vs unified memory, quantization to speculative decoding, everything with llama.cpp feel free to reuse with attribution1h
    Hugging Face@huggingfaceRT @mervenoyann: releasing my local AI slide deck covers from prefill vs decode, MoE vs dense, VRAM vs unified memory, quantization to spe…1h
    Today's Rank

    #12

    Today's Rank

    #12