llm-foundry

LLM training code for Databricks foundation models (by mosaicml)

Llm-foundry Alternatives

Similar projects and alternatives to llm-foundry

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better llm-foundry alternative or higher similarity.

llm-foundry reviews and mentions

Posts with mentions or reviews of llm-foundry. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-05.
  • Fine Tuning Mistral 7B on Magic the Gathering Draft
    4 projects | news.ycombinator.com | 5 Dec 2023
    Related comment from gwern: https://news.ycombinator.com/item?id=38438859

    Also - why qlora rather than a full finetune? Using LambdaLabs, It'd cost roughly the same as your quote. Cheaper I think if you're willing to gamble with fp8: https://github.com/mosaicml/llm-foundry/tree/main/scripts/tr.... And fewer hyperparameters to tune as well

  • Consortium launched to build the largest open LLM
    1 project | news.ycombinator.com | 18 Oct 2023
    Traditionally, training runs can "explode" and fail, but there are methods to incrementally back them up and resume when that happens, see https://www.mosaicml.com/blog/mpt-7b
  • Applying All Recent Innovations To Train a Code Model
    2 projects | dev.to | 11 Aug 2023
    MosaicML released the MPT-7B model, which has a context of 60k tokens, thanks to the ALiBi position encoding.
  • Fine Tuning Language Models
    1 project | news.ycombinator.com | 3 Jul 2023
    Most AI runners just ignore licensing and run LLaMA finetunes.

    But if you want to avoid the non commercial LLaMA license, you have 3 good options for a base model.

    - OpenLlama 13B

    - MPT 30B

    - Falcon 40B

    Of these, Falcon 40B is very difficult to run (slow in 4 bit, basically requires a professional GPU, no good cpu offloading yet).

    OpenLLaMA 13B only supports a context size of 2048 as of today... But that could change soon.

    So you probably want MPT instruct 30B, specifically this one:

    https://huggingface.co/TheBloke/mpt-30B-instruct-GGML

    As the page says, you can try it out on a decent PC of your own with the OpenCL build of KoboldCPP. Change it to "instruct" mode, use the template on the page, offload as many layers as you can to your PC's dGPU, and run it in instruct mode. It may already work for your summarization needs.

    If not, you can finetune it with MPT's code and summarization d

    https://github.com/mosaicml/llm-foundry

    Or train OpenLLaMA 13B with SuperHOT + summarization data using QLORA.

  • Finetune MPT-30B using QLORA
    2 projects | /r/LocalLLaMA | 3 Jul 2023
    BTW. they finally merged a MPT patch to work with lora: https://github.com/mosaicml/llm-foundry/issues/304
  • [N] Meet MPT-30B: A Fully OpenSouce LLM that Outperforms GPT-3 - Dr. Mandar Karhade, MD. PhD.
    2 projects | /r/MachineLearning | 1 Jul 2023
  • MPT-30B QLoRA on 24 GB VRAM
    2 projects | /r/LocalLLaMA | 30 Jun 2023
    Did you run into this error while using qlora on MPT30b?: https://github.com/mosaicml/llm-foundry/issues/413
  • MosaicML Agrees to Join Databricks to Power Generative AI for All
    3 projects | /r/LocalLLaMA | 26 Jun 2023
    Yes? Their github is under Apache, their base model is under apache, the training data is not theirs, and they provide scripts how to convert it for the pretrain step. They have scripts for pretraining and finetuning as well. Basically for everything.
  • Best model for commercial use?
    1 project | /r/LocalLLaMA | 26 Jun 2023
    mosaicml/llm-foundry: LLM training code for MosaicML foundation models (github.com)
  • MosaicML launches MPT-30B: A new open-source model that outperforms GPT-3
    1 project | /r/mlwires | 25 Jun 2023
    MosaicML, a company that provides a platform for training and deploying large language models (LLMs), has recently released its second open-source foundation model called MPT-30B. The model is part of the MosaicML Foundation Series and comes after the smaller MPT-7B model that was launched in May 2023.
  • A note from our sponsor - SaaSHub
    www.saashub.com | 28 Apr 2024
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