{"id":20763660,"url":"https://github.com/infosys/infosys-transformer-foundry","last_synced_at":"2026-06-07T14:31:28.710Z","repository":{"id":236303956,"uuid":"786892877","full_name":"Infosys/Infosys-Transformer-Foundry","owner":"Infosys","description":"A LLM Ops platform that hosts pre curated set of open source models that can be fine tunned and deployed for our customers. 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Infosys Transformer Foundry\n\n## Overview\n\nInfosys Transformer Foundry solution provides buildings blocks for managing LLM Ops and model life cycle management such as model selection, finetuning, benchmarking, deployment at scale along with data pipelines.\n\n![Features offered](docs/images/features.png)\n\n## Features v1.1\n\n- [Model Zoo](docs/model_zoo.md): Curated list of open source models along with their metadata, lifecycle status and model tagging.\n- [Leaderboard](docs/leaderboard.md): LLM leaderboard for customer data (text, embedding and code) on public/private models for efficient selection of models.\n- [Benchmark tool](docs/benchmark.md): Allows benchmarking of fine-tuned or open source models.\n- [Data Pipelines](docs/data_pipelines.md): Allow users to create custom data processing workflows for their models. \n- [Fine Tuning](docs/fine_tuning.md): User can fine tune a model against custom datasets for tailored results.\n- [Model Deployment](docs/model_deployment.md): Facilitate deployment of curated or fine-tuned models and create access points.\n- [Model Playground](docs/model_playground.md): Allows users to test the performance of different models available in the model zoo.\n- [RAG Playground](docs/rag_playground.md): User can ingest documents in real time and leverage RAG for inferencing from them.\n- Dataset Registration: Users have the ability to save datasets, they can then use them during finetuning or benchmarking jobs.\n\n## Hardware \u0026 Software Requirements\n\nFind the hardware and software requirements [here](docs/requirements.md)\n\n## Installation\n\n### Docker\n\n\u003cb\u003ea. Clone the GitHub repository\u003c/b\u003e\n\n```\ngit clone -b \u003c branch and Repo url\u003e\n```\n\n\u003cb\u003eb. Build docker container for each component\u003c/b\u003e\n\nNavigate to each component folder within the repository and build the corresponding Docker image using the following command:\n\n```dos\ncd \u003ccomponent_folder\u003e\ndocker build -t ${DOCKER_REPO}/\u003cimage_name\u003e\n```\n\n\u003cb\u003ec. Run the Docker Container\u003c/b\u003e\n\n```dos\ndocker-compose -f docker-compose.yaml up\n```\n\n## Usage and Examples\n\n[Benchmark Evaluation](docs/benchmark_evaluation.md)\n\n## Reporting problems, asking questions\n\nWe appreciate your feedbacks, questions or bug reporting regarding this project. When posting issues in GitHub, ensure the posted examples follow the guidelines below:\n\n\u003cb\u003eMinimal\u003c/b\u003e: Provide the smallest possible code snippet that still reproduces the problem.\n\n\u003cb\u003eComplete\u003c/b\u003e: Include all necessary information (code, configuration, etc.) for someone else to replicate the issue.\n\n\u003cb\u003eReproducible\u003c/b\u003e: Test your provided code to confirm it consistently reproduces the problem.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finfosys%2Finfosys-transformer-foundry","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finfosys%2Finfosys-transformer-foundry","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finfosys%2Finfosys-transformer-foundry/lists"}