Here are
179 public repositories
matching this topic...
Low-code framework for building custom LLMs, neural networks, and other AI models
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Jun 10, 2024
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SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution?all with a simple interface.
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Jun 13, 2024
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Jun 13, 2024
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An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
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Jun 13, 2024
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Code examples and resources for DBRX, a large language model developed by Databricks
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May 1, 2024
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DLRover: An Automatic Distributed Deep Learning System
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Jun 12, 2024
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Nvidia GPU exporter for prometheus using nvidia-smi binary
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
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Jun 7, 2024
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Jupyter Notebook
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May 14, 2024
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A PyTorch Native LLM Training Framework
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May 31, 2024
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Repo for fine-tuning Casual LLMs
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Mar 27, 2024
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The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.
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Feb 4, 2024
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Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)
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Dec 2, 2023
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Jupyter Notebook
LLM (Large Language Model) FineTuning
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May 19, 2024
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Jupyter Notebook
Tune LLM in few lines of code
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Jan 13, 2024
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Sequence Parallel Attention for Long Context LLM Model Training and Inference
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May 28, 2024
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Finetune LLMs on K8s by using Runbooks
SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.
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Jun 1, 2024
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Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
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Jun 13, 2024
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Python
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