Ask HN: How to get started with local language models?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • ollama

    Get up and running with Llama 3, Mistral, Gemma, and other large language models.

  • You might want to start playing with with Ollama or LmStudio to get you started. The model's weights aren't normally inside your .exe . Typically you can address 128TB of virtual memory on Windows.

    https://ollama.com/

    https://lmstudio.ai/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • text-generation-webui

    A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

  • You can use webui https://github.com/oobabooga/text-generation-webui

    Once you get a version up and running I make a copy before I update it as several times updates have broken my working version and caused headaches.

    a decent explanation of parameters outside of reading archive papers: https://github.com/oobabooga/text-generation-webui/wiki/03-%...

    a news ai website:

  • Cgml

    GPU-targeted vendor-agnostic AI library for Windows, and Mistral model implementation.

  • If you just want to run Mistral on Windows, you could try my port: https://github.com/Const-me/Cgml/tree/master/Mistral/Mistral...

    The setup is relatively easy: install .NET runtime, download 4.5 GB model file from BitTorrent, unpack a small ZIP file and run the EXE.

  • femtoGPT

    Pure Rust implementation of a minimal Generative Pretrained Transformer

  • If you want to get deep in LLMs: https://github.com/keyvank/femtoGPT

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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