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@minaiml

minaiml

min ai ml language models in miniature
README.md

minaiml

Min AI ML — Language Models in Miniature

Part of the Professor Codephreak ecosystem — 34 repositories linking machine learning to cryptocurrency tooling and vice versa. Much of the code is currently private and will be revealed with the vision over time.

What This Is

minaiml explores minimal, efficient language models — 34 repositories collecting small models, quantized inference, edge deployment, and the art of doing more with less. The thesis: intelligence doesn't require a data center.

Domain

Minimal ML: Small language models, quantized inference, edge deployment, efficient architectures, model compression, mobile ML, embedded AI

Related Organizations

DeltaVML (ML stack) | augml (local ML) | trainair (model training)

Part of the PYTHAI organization — AI for the knowledge economy

github.com/minaiml | Professor-Codephreak

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  1. mlc-llm mlc-llm Public

    Forked from mlc-ai/mlc-llm

    Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

    Python

  2. ggml ggml Public

    Forked from ggml-org/ggml

    Tensor library for machine learning

    C

  3. llama.cpp llama.cpp Public

    Forked from ggml-org/llama.cpp

    Port of Facebook's LLaMA model in C/C++

    C

  4. whisper.cpp whisper.cpp Public

    Forked from ggml-org/whisper.cpp

    Port of OpenAI's Whisper model in C/C++

    C

  5. Llama-2-Open-Source-LLM-CPU-Inference Llama-2-Open-Source-LLM-CPU-Inference Public

    Forked from openmindx/Llama-2-Open-Source-LLM-CPU-Inference

    Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

    Python 1

  6. models models Public

    Forked from onnx/models

    A collection of pre-trained, state-of-the-art models in the ONNX format

    Jupyter Notebook

Repositories

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