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iuliaturc avatar

iuliaturc/gguf-docs

0
View on GitHub↗
483 stars·35 forks·MIT·3 views

Gguf Docs

Legacy Quants - K-Quants - I-Quants - Importance Matrix - Naming Convention

Features

  • Model Implementation - Technical documentation for model quantization formats.

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Frequently asked questions

What does iuliaturc/gguf-docs do?

Legacy Quants - K-Quants - I-Quants - Importance Matrix - Naming Convention

What are the main features of iuliaturc/gguf-docs?

The main features of iuliaturc/gguf-docs are: Model Implementation.

What are some open-source alternatives to iuliaturc/gguf-docs?

Open-source alternatives to iuliaturc/gguf-docs include: karpathy/nanochat — Nanochat is a lightweight execution environment designed for training and running language models on standard consumer…

Open-source alternatives to Gguf Docs

Similar open-source projects, ranked by how many features they share with Gguf Docs.
  • karpathy/nanochatkarpathy avatar

    karpathy/nanochat

    55,103View on GitHub↗

    Nanochat is a lightweight execution environment designed for training and running language models on standard consumer hardware. It functions as both a neural network training framework and an inference engine, enabling users to perform backpropagation-based training and model execution directly on general-purpose processors without the need for dedicated graphics hardware. The project distinguishes itself through a suite of optimization tools that prioritize efficiency on local machines. By utilizing memory-mapped weight loading and CPU-optimized vector math, it maximizes throughput for inte

    Python
    View on GitHub↗55,103