Metadata-Version: 2.4
Name: oumi
Version: 0.4.2
Summary: Oumi - Modeling Platform
Author-email: Oumi Team <contact@oumi.ai>
License:                                  Apache License
                                   Version 2.0, January 2004
                                http://www.apache.org/licenses/
        
           TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
        
           1. Definitions.
        
              "License" shall mean the terms and conditions for use, reproduction,
              and distribution as defined by Sections 1 through 9 of this document.
        
              "Licensor" shall mean the copyright owner or entity authorized by
              the copyright owner that is granting the License.
        
              "Legal Entity" shall mean the union of the acting entity and all
              other entities that control, are controlled by, or are under common
              control with that entity. For the purposes of this definition,
              "control" means (i) the power, direct or indirect, to cause the
              direction or management of such entity, whether by contract or
              otherwise, or (ii) ownership of fifty percent (50%) or more of the
              outstanding shares, or (iii) beneficial ownership of such entity.
        
              "You" (or "Your") shall mean an individual or Legal Entity
              exercising permissions granted by this License.
        
              "Source" form shall mean the preferred form for making modifications,
              including but not limited to software source code, documentation
              source, and configuration files.
        
              "Object" form shall mean any form resulting from mechanical
              transformation or translation of a Source form, including but
              not limited to compiled object code, generated documentation,
              and conversions to other media types.
        
              "Work" shall mean the work of authorship, whether in Source or
              Object form, made available under the License, as indicated by a
              copyright notice that is included in or attached to the work
              (an example is provided in the Appendix below).
        
              "Derivative Works" shall mean any work, whether in Source or Object
              form, that is based on (or derived from) the Work and for which the
              editorial revisions, annotations, elaborations, or other modifications
              represent, as a whole, an original work of authorship. For the purposes
              of this License, Derivative Works shall not include works that remain
              separable from, or merely link (or bind by name) to the interfaces of,
              the Work and Derivative Works thereof.
        
              "Contribution" shall mean any work of authorship, including
              the original version of the Work and any modifications or additions
              to that Work or Derivative Works thereof, that is intentionally
              submitted to Licensor for inclusion in the Work by the copyright owner
              or by an individual or Legal Entity authorized to submit on behalf of
              the copyright owner. For the purposes of this definition, "submitted"
              means any form of electronic, verbal, or written communication sent
              to the Licensor or its representatives, including but not limited to
              communication on electronic mailing lists, source code control systems,
              and issue tracking systems that are managed by, or on behalf of, the
              Licensor for the purpose of discussing and improving the Work, but
              excluding communication that is conspicuously marked or otherwise
              designated in writing by the copyright owner as "Not a Contribution."
        
              "Contributor" shall mean Licensor and any individual or Legal Entity
              on behalf of whom a Contribution has been received by Licensor and
              subsequently incorporated within the Work.
        
           2. Grant of Copyright License. Subject to the terms and conditions of
              this License, each Contributor hereby grants to You a perpetual,
              worldwide, non-exclusive, no-charge, royalty-free, irrevocable
              copyright license to reproduce, prepare Derivative Works of,
              publicly display, publicly perform, sublicense, and distribute the
              Work and such Derivative Works in Source or Object form.
        
           3. Grant of Patent License. Subject to the terms and conditions of
              this License, each Contributor hereby grants to You a perpetual,
              worldwide, non-exclusive, no-charge, royalty-free, irrevocable
              (except as stated in this section) patent license to make, have made,
              use, offer to sell, sell, import, and otherwise transfer the Work,
              where such license applies only to those patent claims licensable
              by such Contributor that are necessarily infringed by their
              Contribution(s) alone or by combination of their Contribution(s)
              with the Work to which such Contribution(s) was submitted. If You
              institute patent litigation against any entity (including a
              cross-claim or counterclaim in a lawsuit) alleging that the Work
              or a Contribution incorporated within the Work constitutes direct
              or contributory patent infringement, then any patent licenses
              granted to You under this License for that Work shall terminate
              as of the date such litigation is filed.
        
           4. Redistribution. You may reproduce and distribute copies of the
              Work or Derivative Works thereof in any medium, with or without
              modifications, and in Source or Object form, provided that You
              meet the following conditions:
        
              (a) You must give any other recipients of the Work or
                  Derivative Works a copy of this License; and
        
              (b) You must cause any modified files to carry prominent notices
                  stating that You changed the files; and
        
              (c) You must retain, in the Source form of any Derivative Works
                  that You distribute, all copyright, patent, trademark, and
                  attribution notices from the Source form of the Work,
                  excluding those notices that do not pertain to any part of
                  the Derivative Works; and
        
              (d) If the Work includes a "NOTICE" text file as part of its
                  distribution, then any Derivative Works that You distribute must
                  include a readable copy of the attribution notices contained
                  within such NOTICE file, excluding those notices that do not
                  pertain to any part of the Derivative Works, in at least one
                  of the following places: within a NOTICE text file distributed
                  as part of the Derivative Works; within the Source form or
                  documentation, if provided along with the Derivative Works; or,
                  within a display generated by the Derivative Works, if and
                  wherever such third-party notices normally appear. The contents
                  of the NOTICE file are for informational purposes only and
                  do not modify the License. You may add Your own attribution
                  notices within Derivative Works that You distribute, alongside
                  or as an addendum to the NOTICE text from the Work, provided
                  that such additional attribution notices cannot be construed
                  as modifying the License.
        
              You may add Your own copyright statement to Your modifications and
              may provide additional or different license terms and conditions
              for use, reproduction, or distribution of Your modifications, or
              for any such Derivative Works as a whole, provided Your use,
              reproduction, and distribution of the Work otherwise complies with
              the conditions stated in this License.
        
           5. Submission of Contributions. Unless You explicitly state otherwise,
              any Contribution intentionally submitted for inclusion in the Work
              by You to the Licensor shall be under the terms and conditions of
              this License, without any additional terms or conditions.
              Notwithstanding the above, nothing herein shall supersede or modify
              the terms of any separate license agreement you may have executed
              with Licensor regarding such Contributions.
        
           6. Trademarks. This License does not grant permission to use the trade
              names, trademarks, service marks, or product names of the Licensor,
              except as required for reasonable and customary use in describing the
              origin of the Work and reproducing the content of the NOTICE file.
        
           7. Disclaimer of Warranty. Unless required by applicable law or
              agreed to in writing, Licensor provides the Work (and each
              Contributor provides its Contributions) on an "AS IS" BASIS,
              WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
              implied, including, without limitation, any warranties or conditions
              of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
              PARTICULAR PURPOSE. You are solely responsible for determining the
              appropriateness of using or redistributing the Work and assume any
              risks associated with Your exercise of permissions under this License.
        
           8. Limitation of Liability. In no event and under no legal theory,
              whether in tort (including negligence), contract, or otherwise,
              unless required by applicable law (such as deliberate and grossly
              negligent acts) or agreed to in writing, shall any Contributor be
              liable to You for damages, including any direct, indirect, special,
              incidental, or consequential damages of any character arising as a
              result of this License or out of the use or inability to use the
              Work (including but not limited to damages for loss of goodwill,
              work stoppage, computer failure or malfunction, or any and all
              other commercial damages or losses), even if such Contributor
              has been advised of the possibility of such damages.
        
           9. Accepting Warranty or Additional Liability. While redistributing
              the Work or Derivative Works thereof, You may choose to offer,
              and charge a fee for, acceptance of support, warranty, indemnity,
              or other liability obligations and/or rights consistent with this
              License. However, in accepting such obligations, You may act only
              on Your own behalf and on Your sole responsibility, not on behalf
              of any other Contributor, and only if You agree to indemnify,
              defend, and hold each Contributor harmless for any liability
              incurred by, or claims asserted against, such Contributor by reason
              of your accepting any such warranty or additional liability.
        
           END OF TERMS AND CONDITIONS
        
           APPENDIX: How to apply the Apache License to your work.
        
              To apply the Apache License to your work, attach the following
              boilerplate notice, with the fields enclosed by brackets "[]"
              replaced with your own identifying information. (Don't include
              the brackets!)  The text should be enclosed in the appropriate
              comment syntax for the file format. We also recommend that a
              file or class name and description of purpose be included on the
              same "printed page" as the copyright notice for easier
              identification within third-party archives.
        
           Copyright 2025 - Oumi
        
           Licensed under the Apache License, Version 2.0 (the "License");
           you may not use this file except in compliance with the License.
           You may obtain a copy of the License at
        
               http://www.apache.org/licenses/LICENSE-2.0
        
           Unless required by applicable law or agreed to in writing, software
           distributed under the License is distributed on an "AS IS" BASIS,
           WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
           See the License for the specific language governing permissions and
           limitations under the License.
        
Project-URL: Homepage, https://github.com/oumi-ai/oumi
Project-URL: Issues, https://github.com/oumi-ai/oumi/issues
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: <3.13,>=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: accelerate<2.0,>=1.10.0
Requires-Dist: aiohttp<3.16,>=3.12
Requires-Dist: aiofiles<25,>=24.1.0
Requires-Dist: aioresponses<0.8,>=0.7
Requires-Dist: backoff<2.3,>=2.2.1
Requires-Dist: click<8.3.0
Requires-Dist: datasets<3.3,>=3.2
Requires-Dist: hdrhistogram<0.11,>=0.10
Requires-Dist: jsonlines
Requires-Dist: lm_eval[wandb]<0.5.0,>=0.4
Requires-Dist: mlflow>=3.1
Requires-Dist: numpy<2.4,>=1.26
Requires-Dist: omegaconf==2.4.0.dev3
Requires-Dist: packaging
Requires-Dist: pandas<3,>=2.3
Requires-Dist: peft<0.18,>=0.17
Requires-Dist: pexpect<4.10,>=4.9
Requires-Dist: pillow<11.4,>=11.3
Requires-Dist: protobuf>=6.32
Requires-Dist: pydantic<2.12,>=2.11
Requires-Dist: responses<0.26,>=0.25
Requires-Dist: safetensors<0.7,>=0.6
Requires-Dist: skypilot<0.11,>=0.10.2
Requires-Dist: tensorboard<2.21,>=2.20
Requires-Dist: torch<2.9.0,>=2.6
Requires-Dist: torchao<0.13,>=0.12
Requires-Dist: torchdata<0.10.0,>=0.9
Requires-Dist: torchvision<0.24,>=0.21
Requires-Dist: tqdm
Requires-Dist: transformers<4.58,>=4.57
Requires-Dist: trl<0.22,>=0.21
Requires-Dist: typer
Requires-Dist: typing_extensions
Requires-Dist: uvicorn<0.36.0
Requires-Dist: wandb<0.22,>=0.21
Provides-Extra: dev
Requires-Dist: ipykernel; extra == "dev"
Requires-Dist: ipywidgets; extra == "dev"
Requires-Dist: jupyterlab; extra == "dev"
Requires-Dist: nbconvert; extra == "dev"
Requires-Dist: nbformat; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pyright; extra == "dev"
Requires-Dist: pytest-asyncio; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pytest-timeout; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: responses; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: torchfix; extra == "dev"
Provides-Extra: docs
Requires-Dist: myst_parser; extra == "docs"
Requires-Dist: myst-nb; extra == "docs"
Requires-Dist: sphinx-book-theme; extra == "docs"
Requires-Dist: sphinx-copybutton; extra == "docs"
Requires-Dist: sphinx-design; extra == "docs"
Requires-Dist: sphinx-rtd-theme>=3.0.1; extra == "docs"
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinxcontrib-bibtex; extra == "docs"
Requires-Dist: sphinxcontrib-mermaid; extra == "docs"
Requires-Dist: sphinxcontrib-typer; extra == "docs"
Provides-Extra: gpu
Requires-Dist: liger-kernel<0.7,>=0.6; extra == "gpu"
Requires-Dist: nvidia-ml-py<13.581,>=13.580; extra == "gpu"
Requires-Dist: bitsandbytes<0.48,>=0.47; extra == "gpu"
Requires-Dist: verl<0.6,>=0.5; extra == "gpu"
Requires-Dist: vllm<0.11,>=0.10; extra == "gpu"
Requires-Dist: deepspeed<0.18.0,>=0.17.0; extra == "gpu"
Provides-Extra: aws
Requires-Dist: skypilot[aws]; extra == "aws"
Provides-Extra: azure
Requires-Dist: skypilot[azure]; extra == "azure"
Provides-Extra: gcp
Requires-Dist: google-api-core>=2.25; extra == "gcp"
Requires-Dist: google-api-python-client; extra == "gcp"
Requires-Dist: google-auth>=2.40; extra == "gcp"
Requires-Dist: google-cloud-core>=2.4; extra == "gcp"
Requires-Dist: google-cloud-storage>=3.3; extra == "gcp"
Requires-Dist: skypilot[gcp]; extra == "gcp"
Provides-Extra: lambda
Requires-Dist: skypilot[lambda]; extra == "lambda"
Provides-Extra: runpod
Requires-Dist: skypilot[runpod]; extra == "runpod"
Provides-Extra: synthesis
Requires-Dist: pdftext>=0.6.3; extra == "synthesis"
Provides-Extra: flash-attn
Requires-Dist: flash-attn>=2.0.0; extra == "flash-attn"
Provides-Extra: evaluation
Requires-Dist: alpaca-eval<0.7,>=0.6; extra == "evaluation"
Requires-Dist: langdetect; extra == "evaluation"
Requires-Dist: immutabledict; extra == "evaluation"
Requires-Dist: nltk>=3.9; extra == "evaluation"
Requires-Dist: antlr4-python3-runtime==4.11; extra == "evaluation"
Requires-Dist: sympy>=1.14; extra == "evaluation"
Requires-Dist: sentencepiece>=0.2.0; extra == "evaluation"
Provides-Extra: quantization
Requires-Dist: autoawq<0.3,>=0.2; extra == "quantization"
Requires-Dist: bitsandbytes<0.48,>=0.47; extra == "quantization"
Provides-Extra: bitnet
Requires-Dist: onebitllms>=0.0.3; extra == "bitnet"
Provides-Extra: cambrian
Requires-Dist: timm==0.9.16; extra == "cambrian"
Requires-Dist: open_clip_torch; extra == "cambrian"
Requires-Dist: diffusers[torch]; extra == "cambrian"
Requires-Dist: einops==0.6.1; extra == "cambrian"
Provides-Extra: file-formats
Requires-Dist: pdf2image<1.18,>=1.17; extra == "file-formats"
Requires-Dist: python-poppler<0.5,>=0.4; extra == "file-formats"
Provides-Extra: llama-cpp
Requires-Dist: llama-cpp-python<0.4,>=0.3.5; extra == "llama-cpp"
Provides-Extra: ci-cpu
Requires-Dist: oumi[dev,docs,gcp,synthesis]; extra == "ci-cpu"
Requires-Dist: vllm<0.11,>=0.10; extra == "ci-cpu"
Requires-Dist: llama-cpp-python<0.4,>=0.3; extra == "ci-cpu"
Provides-Extra: ci-gpu
Requires-Dist: oumi[dev,docs,gcp,gpu,synthesis]; extra == "ci-gpu"
Requires-Dist: alpaca-eval<0.7,>=0.6; extra == "ci-gpu"
Dynamic: license-file

![Oumi Logo](https://github.com/oumi-ai/oumi/raw/main/docs/_static/logo/header_logo.png)

[![Documentation](https://img.shields.io/badge/Documentation-oumi-blue.svg)](https://oumi.ai/docs/en/latest/index.html)
[![Blog](https://img.shields.io/badge/Blog-oumi-blue.svg)](https://oumi.ai/blog)
[![Twitter](https://img.shields.io/twitter/follow/Oumi_PBC)](https://x.com/Oumi_PBC)
[![Discord](https://img.shields.io/discord/1286348126797430814?label=Discord)](https://discord.gg/oumi)
[![PyPI version](https://badge.fury.io/py/oumi.svg)](https://badge.fury.io/py/oumi)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Tests](https://github.com/oumi-ai/oumi/actions/workflows/pretest.yaml/badge.svg?branch=main)](https://github.com/oumi-ai/oumi/actions/workflows/pretest.yaml)
[![GPU Tests](https://github.com/oumi-ai/oumi/actions/workflows/gpu_tests.yaml/badge.svg?branch=main)](https://github.com/oumi-ai/oumi/actions/workflows/gpu_tests.yaml)
[![GitHub Repo stars](https://img.shields.io/github/stars/oumi-ai/oumi)](https://github.com/oumi-ai/oumi/stargazers)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)
[![About](https://img.shields.io/badge/About-oumi-blue.svg)](https://oumi.ai)

### Everything you need to build state-of-the-art foundation models, end-to-end.

<p align="center">
  <a href="https://trendshift.io/repositories/12865">
    <img alt="GitHub trending" src="https://trendshift.io/api/badge/repositories/12865" />
  </a>
</p>

## 🔥 News
- [2025/09] [Oumi v0.4.0 released](https://github.com/oumi-ai/oumi/releases/tag/v0.4.0) with DeepSpeed support, a Hugging Face Hub cache management tool, KTO/Vision DPO trainer support
- [2025/08] Training and inference support for OpenAI's `gpt-oss-20b` and `gpt-oss-120b`: [recipes here](https://github.com/oumi-ai/oumi/tree/main/configs/recipes/gpt_oss)
- [2025/08] Aug 14 Webinar - [OpenAI's gpt-oss: Separating the Substance from the Hype](https://youtu.be/g1PkAV7fXn0).
- [2025/08] [Oumi v0.3.0 released](https://github.com/oumi-ai/oumi/releases/tag/v0.3.0) with model quantization (AWQ), an improved LLM-as-a-Judge API, and Adaptive Inference
- [2025/07] Recipe for [Qwen3 235B](https://github.com/oumi-ai/oumi/blob/main/configs/recipes/qwen3/inference/235b_a22b_together_infer.yaml)
- [2025/07] July 24 webinar: ["Training a State-of-the-art Agent LLM with Oumi + Lambda"](https://youtu.be/f3SU_heBP54)
- [2025/06] [Oumi v0.2.0 released](https://github.com/oumi-ai/oumi/releases/tag/v0.2.0) with support for GRPO fine-tuning, a plethora of new model support, and much more
- [2025/06] Announcement of [Data Curation for Vision Language Models (DCVLR) competition](https://oumi.ai/blog/posts/announcing-dcvlr) at NeurIPS2025
- [2025/06] Recipes for training, inference, and eval with the newly released [Falcon-H1](https://github.com/oumi-ai/oumi/tree/main/configs/recipes/falcon_h1) and [Falcon-E](https://github.com/oumi-ai/oumi/tree/main/configs/recipes/falcon_e) models
- [2025/05] Support and recipes for [InternVL3 1B](https://github.com/oumi-ai/oumi/tree/main/configs/recipes/vision/internvl3)
- [2025/04] Added support for training and inference with Llama 4 models: Scout (17B activated, 109B total) and Maverick (17B activated, 400B total) variants, including full fine-tuning, LoRA, and QLoRA configurations
- [2025/04] Recipes for [Qwen3 model family](https://github.com/oumi-ai/oumi/tree/main/configs/recipes/qwen3)
- [2025/04] Introducing HallOumi: a State-of-the-Art Claim-Verification Model [(technical overview)](https://oumi.ai/blog/posts/introducing-halloumi)
- [2025/04] Oumi now supports two new Vision-Language models: [Phi4](https://github.com/oumi-ai/oumi/tree/main/configs/recipes/vision/phi4) and [Qwen 2.5](https://github.com/oumi-ai/oumi/tree/main/configs/recipes/vision/qwen2_5_vl_3b)

## 🔎 About
Oumi is a fully open-source platform that streamlines the entire lifecycle of foundation models - from data preparation and training to evaluation and deployment. Whether you're developing on a laptop, launching large scale experiments on a cluster, or deploying models in production, Oumi provides the tools and workflows you need.

With Oumi, you can:

- 🚀 Train and fine-tune models from 10M to 405B parameters using state-of-the-art techniques (SFT, LoRA, QLoRA, GRPO, and more)
- 🤖 Work with both text and multimodal models (Llama, DeepSeek, Qwen, Phi, and others)
- 🔄 Synthesize and curate training data with LLM judges
- ⚡️ Deploy models efficiently with popular inference engines (vLLM, SGLang)
- 📊 Evaluate models comprehensively across standard benchmarks
- 🌎 Run anywhere - from laptops to clusters to clouds (AWS, Azure, GCP, Lambda, and more)
- 🔌 Integrate with both open models and commercial APIs (OpenAI, Anthropic, Vertex AI, Together, Parasail, ...)

All with one consistent API, production-grade reliability, and all the flexibility you need for research.

Learn more at [oumi.ai](https://oumi.ai/docs), or jump right in with the [quickstart guide](https://oumi.ai/docs/en/latest/get_started/quickstart.html).

## 🚀 Getting Started

| **Notebook** | **Try in Colab** | **Goal** |
|----------|--------------|-------------|
| **🎯 Getting Started: A Tour** | <a target="_blank" href="https://colab.research.google.com/github/oumi-ai/oumi/blob/main/notebooks/Oumi - A Tour.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> | Quick tour of core features: training, evaluation, inference, and job management |
| **🔧 Model Finetuning Guide** | <a target="_blank" href="https://colab.research.google.com/github/oumi-ai/oumi/blob/main/notebooks/Oumi - Finetuning Tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> | End-to-end guide to LoRA tuning with data prep, training, and evaluation |
| **📚 Model Distillation** | <a target="_blank" href="https://colab.research.google.com/github/oumi-ai/oumi/blob/main/notebooks/Oumi - Distill a Large Model.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> | Guide to distilling large models into smaller, efficient ones |
| **📋 Model Evaluation** | <a target="_blank" href="https://colab.research.google.com/github/oumi-ai/oumi/blob/main/notebooks/Oumi - Evaluation with Oumi.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> | Comprehensive model evaluation using Oumi's evaluation framework |
| **☁️ Remote Training** | <a target="_blank" href="https://colab.research.google.com/github/oumi-ai/oumi/blob/main/notebooks/Oumi - Running Jobs Remotely.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> | Launch and monitor training jobs on cloud (AWS, Azure, GCP, Lambda, etc.) platforms |
| **📈 LLM-as-a-Judge** | <a target="_blank" href="https://colab.research.google.com/github/oumi-ai/oumi/blob/main/notebooks/Oumi - Simple Judge.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> | Filter and curate training data with built-in judges |

## 🔧 Usage

### Installation

Installing oumi in your environment is straightforward:

```shell
# Install the package (CPU & NPU only)
pip install oumi  # For local development & testing

# OR, with GPU support (Requires Nvidia or AMD GPU)
pip install oumi[gpu]  # For GPU training

# To get the latest version, install from the source
pip install git+https://github.com/oumi-ai/oumi.git
```

For more advanced installation options, see the [installation guide](https://oumi.ai/docs/en/latest/get_started/installation.html).


### Oumi CLI

You can quickly use the `oumi` command to train, evaluate, and infer models using one of the existing [recipes](/configs/recipes):

```shell
# Training
oumi train -c configs/recipes/smollm/sft/135m/quickstart_train.yaml

# Evaluation
oumi evaluate -c configs/recipes/smollm/evaluation/135m/quickstart_eval.yaml

# Inference
oumi infer -c configs/recipes/smollm/inference/135m_infer.yaml --interactive
```

For more advanced options, see the [training](https://oumi.ai/docs/en/latest/user_guides/train/train.html), [evaluation](https://oumi.ai/docs/en/latest/user_guides/evaluate/evaluate.html), [inference](https://oumi.ai/docs/en/latest/user_guides/infer/infer.html), and [llm-as-a-judge](https://oumi.ai/docs/en/latest/user_guides/judge/judge.html) guides.

### Running Jobs Remotely

You can run jobs remotely on cloud platforms (AWS, Azure, GCP, Lambda, etc.) using the `oumi launch` command:

```shell
# GCP
oumi launch up -c configs/recipes/smollm/sft/135m/quickstart_gcp_job.yaml

# AWS
oumi launch up -c configs/recipes/smollm/sft/135m/quickstart_gcp_job.yaml --resources.cloud aws

# Azure
oumi launch up -c configs/recipes/smollm/sft/135m/quickstart_gcp_job.yaml --resources.cloud azure

# Lambda
oumi launch up -c configs/recipes/smollm/sft/135m/quickstart_gcp_job.yaml --resources.cloud lambda
```

**Note:** Oumi is in <ins>beta</ins> and under active development. The core features are stable, but some advanced features might change as the platform improves.


## 💻 Why use Oumi?

If you need a comprehensive platform for training, evaluating, or deploying models, Oumi is a great choice.

Here are some of the key features that make Oumi stand out:

- 🔧 **Zero Boilerplate**: Get started in minutes with ready-to-use recipes for popular models and workflows. No need to write training loops or data pipelines.
- 🏢 **Enterprise-Grade**: Built and validated by teams training models at scale
- 🎯 **Research Ready**: Perfect for ML research with easily reproducible experiments, and flexible interfaces for customizing each component.
- 🌐 **Broad Model Support**: Works with most popular model architectures - from tiny models to the largest ones, text-only to multimodal.
- 🚀 **SOTA Performance**: Native support for distributed training techniques (FSDP, DeepSpeed, DDP) and optimized inference engines (vLLM, SGLang).
- 🤝 **Community First**: 100% open source with an active community. No vendor lock-in, no strings attached.

## 📚 Examples &  Recipes

Explore the growing collection of ready-to-use configurations for state-of-the-art models and training workflows:

**Note:** These configurations are not an exhaustive list of what's supported, simply examples to get you started. You can find a more exhaustive list of supported [models](https://oumi.ai/docs/en/latest/resources/models/supported_models.html), and datasets ([supervised fine-tuning](https://oumi.ai/docs/en/latest/resources/datasets/sft_datasets.html), [pre-training](https://oumi.ai/docs/en/latest/resources/datasets/pretraining_datasets.html), [preference tuning](https://oumi.ai/docs/en/latest/resources/datasets/preference_datasets.html), and [vision-language finetuning](https://oumi.ai/docs/en/latest/resources/datasets/vl_sft_datasets.html)) in the oumi documentation.

### Qwen Family

| Model | Example Configurations |
|-------|------------------------|
| Qwen3 30B A3B | [LoRA](/configs/recipes/qwen3/sft/30b_a3b_lora/train.yaml) • [Inference](/configs/recipes/qwen3/inference/30b_a3b_infer.yaml) • [Evaluation](/configs/recipes/qwen3/evaluation/30b_a3b_eval.yaml) |
| Qwen3 32B | [LoRA](/configs/recipes/qwen3/sft/32b_lora/train.yaml) • [Inference](/configs/recipes/qwen3/inference/32b_infer.yaml) • [Evaluation](/configs/recipes/qwen3/evaluation/32b_eval.yaml) |
| Qwen3 14B | [LoRA](/configs/recipes/qwen3/sft/14b_lora/train.yaml) • [Inference](/configs/recipes/qwen3/inference/14b_infer.yaml) • [Evaluation](/configs/recipes/qwen3/evaluation/14b_eval.yaml) |
| Qwen3 8B | [FFT](/configs/recipes/qwen3/sft/8b_full/train.yaml) • [Inference](/configs/recipes/qwen3/inference/8b_infer.yaml) • [Evaluation](/configs/recipes/qwen3/evaluation/8b_eval.yaml) |
| Qwen3 4B | [FFT](/configs/recipes/qwen3/sft/4b_full/train.yaml) • [Inference](/configs/recipes/qwen3/inference/4b_infer.yaml) • [Evaluation](/configs/recipes/qwen3/evaluation/4b_eval.yaml) |
| Qwen3 1.7B | [FFT](/configs/recipes/qwen3/sft/1.7b_full/train.yaml) • [Inference](/configs/recipes/qwen3/inference/1.7b_infer.yaml) • [Evaluation](/configs/recipes/qwen3/evaluation/1.7b_eval.yaml) |
| Qwen3 0.6B | [FFT](/configs/recipes/qwen3/sft/0.6b_full/train.yaml) • [Inference](/configs/recipes/qwen3/inference/0.6b_infer.yaml) • [Evaluation](/configs/recipes/qwen3/evaluation/0.6b_eval.yaml) |
| QwQ 32B | [FFT](/configs/recipes/qwq/sft/full_train.yaml) • [LoRA](/configs/recipes/qwq/sft/lora_train.yaml) • [QLoRA](/configs/recipes/qwq/sft/qlora_train.yaml) • [Inference](/configs/recipes/qwq/inference/infer.yaml) • [Evaluation](/configs/recipes/qwq/evaluation/eval.yaml) |
| Qwen2.5-VL 3B | [SFT](/configs/recipes/vision/qwen2_5_vl_3b/sft/full/train.yaml) • [LoRA](/configs/recipes/vision/qwen2_5_vl_3b/sft/lora/train.yaml)• [Inference (vLLM)](configs/recipes/vision/qwen2_5_vl_3b/inference/vllm_infer.yaml) • [Inference](configs/recipes/vision/qwen2_5_vl_3b/inference/infer.yaml) |
| Qwen2-VL 2B | [SFT](/configs/recipes/vision/qwen2_vl_2b/sft/full/train.yaml) • [LoRA](/configs/recipes/vision/qwen2_vl_2b/sft/lora/train.yaml) • [Inference (vLLM)](configs/recipes/vision/qwen2_vl_2b/inference/vllm_infer.yaml) • [Inference (SGLang)](configs/recipes/vision/qwen2_vl_2b/inference/sglang_infer.yaml) • [Inference](configs/recipes/vision/qwen2_vl_2b/inference/infer.yaml) • [Evaluation](configs/recipes/vision/qwen2_vl_2b/evaluation/eval.yaml) |

### 🐋 DeepSeek R1 Family

| Model | Example Configurations |
|-------|------------------------|
| DeepSeek R1 671B | [Inference (Together AI)](configs/recipes/deepseek_r1/inference/671b_together_infer.yaml) |
| Distilled Llama 8B | [FFT](/configs/recipes/deepseek_r1/sft/distill_llama_8b/full_train.yaml) • [LoRA](/configs/recipes/deepseek_r1/sft/distill_llama_8b/lora_train.yaml) • [QLoRA](/configs/recipes/deepseek_r1/sft/distill_llama_8b/qlora_train.yaml) • [Inference](configs/recipes/deepseek_r1/inference/distill_llama_8b_infer.yaml) • [Evaluation](/configs/recipes/deepseek_r1/evaluation/distill_llama_8b/eval.yaml) |
| Distilled Llama 70B | [FFT](/configs/recipes/deepseek_r1/sft/distill_llama_70b/full_train.yaml) • [LoRA](/configs/recipes/deepseek_r1/sft/distill_llama_70b/lora_train.yaml) • [QLoRA](/configs/recipes/deepseek_r1/sft/distill_llama_70b/qlora_train.yaml) • [Inference](configs/recipes/deepseek_r1/inference/distill_llama_70b_infer.yaml) • [Evaluation](/configs/recipes/deepseek_r1/evaluation/distill_llama_70b/eval.yaml) |
| Distilled Qwen 1.5B | [FFT](/configs/recipes/deepseek_r1/sft/distill_qwen_1_5b/full_train.yaml) • [LoRA](/configs/recipes/deepseek_r1/sft/distill_qwen_1_5b/lora_train.yaml) • [Inference](configs/recipes/deepseek_r1/inference/distill_qwen_1_5b_infer.yaml) • [Evaluation](/configs/recipes/deepseek_r1/evaluation/distill_qwen_1_5b/eval.yaml) |
| Distilled Qwen 32B | [LoRA](/configs/recipes/deepseek_r1/sft/distill_qwen_32b/lora_train.yaml) • [Inference](configs/recipes/deepseek_r1/inference/distill_qwen_32b_infer.yaml) • [Evaluation](/configs/recipes/deepseek_r1/evaluation/distill_qwen_32b/eval.yaml) |

### 🦙 Llama Family

| Model | Example Configurations |
|-------|------------------------|
| Llama 4 Scout Instruct 17B | [FFT](/configs/recipes/llama4/sft/scout_instruct_full/train.yaml) • [LoRA](/configs/recipes/llama4/sft/scout_instruct_lora/train.yaml) • [QLoRA](/configs/recipes/llama4/sft/scout_instruct_qlora/train.yaml) • [Inference (vLLM)](/configs/recipes/llama4/inference/scout_instruct_vllm_infer.yaml) • [Inference](/configs/recipes/llama4/inference/scout_instruct_infer.yaml) • [Inference (Together.ai)](/configs/recipes/llama4/inference/scout_instruct_together_infer.yaml) |
| Llama 4 Scout 17B | [FFT](/configs/recipes/llama4/sft/scout_base_full/train.yaml)  |
| Llama 3.1 8B | [FFT](/configs/recipes/llama3_1/sft/8b_full/train.yaml) • [LoRA](/configs/recipes/llama3_1/sft/8b_lora/train.yaml) • [QLoRA](/configs/recipes/llama3_1/sft/8b_qlora/train.yaml) • [Pre-training](/configs/recipes/llama3_1/pretraining/8b/train.yaml) • [Inference (vLLM)](configs/recipes/llama3_1/inference/8b_rvllm_infer.yaml) • [Inference](/configs/recipes/llama3_1/inference/8b_infer.yaml) • [Evaluation](/configs/recipes/llama3_1/evaluation/8b_eval.yaml) |
| Llama 3.1 70B | [FFT](/configs/recipes/llama3_1/sft/70b_full/train.yaml) • [LoRA](/configs/recipes/llama3_1/sft/70b_lora/train.yaml) • [QLoRA](/configs/recipes/llama3_1/sft/70b_qlora/train.yaml) • [Inference](/configs/recipes/llama3_1/inference/70b_infer.yaml) • [Evaluation](/configs/recipes/llama3_1/evaluation/70b_eval.yaml) |
| Llama 3.1 405B | [FFT](/configs/recipes/llama3_1/sft/405b_full/train.yaml) • [LoRA](/configs/recipes/llama3_1/sft/405b_lora/train.yaml) • [QLoRA](/configs/recipes/llama3_1/sft/405b_qlora/train.yaml) |
| Llama 3.2 1B | [FFT](/configs/recipes/llama3_2/sft/1b_full/train.yaml) • [LoRA](/configs/recipes/llama3_2/sft/1b_lora/train.yaml) • [QLoRA](/configs/recipes/llama3_2/sft/1b_qlora/train.yaml) • [Inference (vLLM)](/configs/recipes/llama3_2/inference/1b_vllm_infer.yaml) • [Inference (SGLang)](/configs/recipes/llama3_2/inference/1b_sglang_infer.yaml) • [Inference](/configs/recipes/llama3_2/inference/1b_infer.yaml) • [Evaluation](/configs/recipes/llama3_2/evaluation/1b_eval.yaml) |
| Llama 3.2 3B | [FFT](/configs/recipes/llama3_2/sft/3b_full/train.yaml) • [LoRA](/configs/recipes/llama3_2/sft/3b_lora/train.yaml) • [QLoRA](/configs/recipes/llama3_2/sft/3b_qlora/train.yaml) • [Inference (vLLM)](/configs/recipes/llama3_2/inference/3b_vllm_infer.yaml) • [Inference (SGLang)](/configs/recipes/llama3_2/inference/3b_sglang_infer.yaml) • [Inference](/configs/recipes/llama3_2/inference/3b_infer.yaml) • [Evaluation](/configs/recipes/llama3_2/evaluation/3b_eval.yaml) |
| Llama 3.3 70B | [FFT](/configs/recipes/llama3_3/sft/70b_full/train.yaml) • [LoRA](/configs/recipes/llama3_3/sft/70b_lora/train.yaml) • [QLoRA](/configs/recipes/llama3_3/sft/70b_qlora/train.yaml) • [Inference (vLLM)](/configs/recipes/llama3_3/inference/70b_vllm_infer.yaml) • [Inference](/configs/recipes/llama3_3/inference/70b_infer.yaml) • [Evaluation](/configs/recipes/llama3_3/evaluation/70b_eval.yaml) |
| Llama 3.2 Vision 11B | [SFT](/configs/recipes/vision/llama3_2_vision/sft/11b_full/train.yaml) • [Inference (vLLM)](/configs/recipes/vision/llama3_2_vision/inference/11b_rvllm_infer.yaml) • [Inference (SGLang)](/configs/recipes/vision/llama3_2_vision/inference/11b_sglang_infer.yaml) • [Evaluation](/configs/recipes/vision/llama3_2_vision/evaluation/11b_eval.yaml) |

### 🦅 Falcon family

| Model | Example Configurations |
|-------|------------------------|
| [Falcon-H1](https://huggingface.co/collections/tiiuae/falcon-h1-6819f2795bc406da60fab8df) | [FFT](/configs/recipes/falcon_h1/sft/) • [Inference](/configs/recipes/falcon_h1/inference/) • [Evaluation](/configs/recipes/falcon_h1/evaluation/) |
| [Falcon-E (BitNet)](https://huggingface.co/collections/tiiuae/falcon-edge-series-6804fd13344d6d8a8fa71130) | [FFT](/configs/recipes/falcon_e/sft/) • [DPO](/configs/recipes/falcon_e/dpo/) • [Evaluation](/configs/recipes/falcon_e/evaluation/) |

### 🎨 Vision Models

| Model | Example Configurations |
|-------|------------------------|
| Llama 3.2 Vision 11B | [SFT](/configs/recipes/vision/llama3_2_vision/sft/11b_full/train.yaml) • [LoRA](/configs/recipes/vision/llama3_2_vision/sft/11b_lora/train.yaml) • [Inference (vLLM)](/configs/recipes/vision/llama3_2_vision/inference/11b_rvllm_infer.yaml) • [Inference (SGLang)](/configs/recipes/vision/llama3_2_vision/inference/11b_sglang_infer.yaml) • [Evaluation](/configs/recipes/vision/llama3_2_vision/evaluation/11b_eval.yaml) |
| LLaVA 7B | [SFT](/configs/recipes/vision/llava_7b/sft/train.yaml) • [Inference (vLLM)](configs/recipes/vision/llava_7b/inference/vllm_infer.yaml) • [Inference](/configs/recipes/vision/llava_7b/inference/infer.yaml) |
| Phi3 Vision 4.2B | [SFT](/configs/recipes/vision/phi3/sft/full/train.yaml) • [LoRA](/configs/recipes/vision/phi3/sft/lora/train.yaml) • [Inference (vLLM)](configs/recipes/vision/phi3/inference/vllm_infer.yaml) |
| Phi4 Vision 5.6B | [SFT](/configs/recipes/vision/phi4/sft/full/train.yaml) • [LoRA](/configs/recipes/vision/phi4/sft/lora/train.yaml) • [Inference (vLLM)](configs/recipes/vision/phi4/inference/vllm_infer.yaml) • [Inference](/configs/recipes/vision/phi4/inference/infer.yaml) |
| Qwen2-VL 2B | [SFT](/configs/recipes/vision/qwen2_vl_2b/sft/full/train.yaml) • [LoRA](/configs/recipes/vision/qwen2_vl_2b/sft/lora/train.yaml) • [Inference (vLLM)](configs/recipes/vision/qwen2_vl_2b/inference/vllm_infer.yaml) • [Inference (SGLang)](configs/recipes/vision/qwen2_vl_2b/inference/sglang_infer.yaml) • [Inference](configs/recipes/vision/qwen2_vl_2b/inference/infer.yaml) • [Evaluation](configs/recipes/vision/qwen2_vl_2b/evaluation/eval.yaml) |
| Qwen2.5-VL 3B | [SFT](/configs/recipes/vision/qwen2_5_vl_3b/sft/full/train.yaml) • [LoRA](/configs/recipes/vision/qwen2_5_vl_3b/sft/lora/train.yaml)• [Inference (vLLM)](configs/recipes/vision/qwen2_5_vl_3b/inference/vllm_infer.yaml) • [Inference](configs/recipes/vision/qwen2_5_vl_3b/inference/infer.yaml) |
| SmolVLM-Instruct 2B | [SFT](/configs/recipes/vision/smolvlm/sft/full/train.yaml) • [LoRA](/configs/recipes/vision/smolvlm/sft/lora/train.yaml) |

### 🔍 Even more options

This section lists all the language models that can be used with Oumi. Thanks to the integration with the [🤗 Transformers](https://github.com/huggingface/transformers) library, you can easily use any of these models for training, evaluation, or inference.

Models prefixed with a checkmark (✅) have been thoroughly tested and validated by the Oumi community, with ready-to-use recipes available in the [configs/recipes](configs/recipes) directory.

<details>
<summary>📋 Click to see more supported models</summary>

#### Instruct Models

| Model | Size | Paper | HF Hub  | License  | Open [^1] |
|-------|------|-------|---------|----------|------|
| ✅ SmolLM-Instruct | 135M/360M/1.7B | [Blog](https://huggingface.co/blog/smollm) | [Hub](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct) | Apache 2.0 | ✅ |
| ✅ DeepSeek R1 Family | 1.5B/8B/32B/70B/671B | [Blog](https://api-docs.deepseek.com/news/news250120) | [Hub](https://huggingface.co/deepseek-ai/DeepSeek-R1) | MIT | ❌ |
| ✅ Llama 3.1 Instruct | 8B/70B/405B | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-3.1-70b-instruct) | [License](https://llama.meta.com/llama3/license/) | ❌  |
| ✅ Llama 3.2 Instruct | 1B/3B | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-3.2-3b-instruct) | [License](https://llama.meta.com/llama3/license/) | ❌  |
| ✅ Llama 3.3 Instruct | 70B | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-3.3-70b-instruct) | [License](https://llama.meta.com/llama3/license/) | ❌  |
| ✅ Phi-3.5-Instruct | 4B/14B | [Paper](https://arxiv.org/abs/2404.14219) | [Hub](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) | [License](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/blob/main/LICENSE) | ❌  |
| ✅ Qwen3 | 0.6B-32B | [Paper](https://arxiv.org/abs/2505.09388) | [Hub](https://huggingface.co/Qwen/Qwen3-32B) | [License](https://github.com/QwenLM/Qwen/blob/main/LICENSE) | ❌  |
| Qwen2.5-Instruct | 0.5B-70B | [Paper](https://arxiv.org/abs/2309.16609) | [Hub](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) | [License](https://github.com/QwenLM/Qwen/blob/main/LICENSE) | ❌  |
| OLMo 2 Instruct | 7B | [Paper](https://arxiv.org/abs/2402.00838) | [Hub](https://huggingface.co/allenai/OLMo-2-1124-7B) | Apache 2.0 | ✅ |
| MPT-Instruct | 7B | [Blog](https://www.mosaicml.com/blog/mpt-7b) | [Hub](https://huggingface.co/mosaicml/mpt-7b-instruct) | Apache 2.0 | ✅ |
| Command R | 35B/104B | [Blog](https://cohere.com/blog/command-r7b) | [Hub](https://huggingface.co/CohereForAI/c4ai-command-r-plus) | [License](https://cohere.com/c4ai-cc-by-nc-license) | ❌ |
| Granite-3.1-Instruct | 2B/8B | [Paper](https://github.com/ibm-granite/granite-3.0-language-models/blob/main/paper.pdf) | [Hub](https://huggingface.co/ibm-granite/granite-3.1-8b-instruct) | Apache 2.0 | ❌ |
| Gemma 2 Instruct | 2B/9B | [Blog](https://ai.google.dev/gemma) | [Hub](https://huggingface.co/google/gemma-2-2b-it) | [License](https://ai.google.dev/gemma/terms) | ❌ |
| DBRX-Instruct | 130B MoE | [Blog](https://www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm) | [Hub](https://huggingface.co/databricks/dbrx-instruct) | Apache 2.0 | ❌ |
| Falcon-Instruct | 7B/40B | [Paper](https://arxiv.org/abs/2306.01116) | [Hub](https://huggingface.co/tiiuae/falcon-7b-instruct) | Apache 2.0 | ❌  |
| ✅ Llama 4 Scout Instruct | 17B (Activated) 109B (Total) | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct) | [License](https://llama.meta.com/llama4/license/) | ❌  |
| ✅ Llama 4 Maverick Instruct | 17B (Activated) 400B (Total) | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct) | [License](https://llama.meta.com/llama4/license/) | ❌  |

#### Vision-Language Models

| Model | Size | Paper | HF Hub | License | Open |
|-------|------|-------|---------|----------|------|
| ✅ Llama 3.2 Vision | 11B | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-3.2-11b-vision) | [License](https://llama.meta.com/llama3/license/) | ❌  |
| ✅ LLaVA-1.5 | 7B | [Paper](https://arxiv.org/abs/2310.03744) | [Hub](https://huggingface.co/llava-hf/llava-1.5-7b-hf) | [License](https://ai.meta.com/llama/license) | ❌ |
| ✅ Phi-3 Vision | 4.2B | [Paper](https://arxiv.org/abs/2404.14219) | [Hub](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct) | [License](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/blob/main/LICENSE) | ❌ |
| ✅ BLIP-2 | 3.6B | [Paper](https://arxiv.org/abs/2301.12597) | [Hub](https://huggingface.co/Salesforce/blip2-opt-2.7b) | MIT | ❌ |
| ✅ Qwen2-VL | 2B | [Blog](https://qwenlm.github.io/blog/qwen2-vl/) | [Hub](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) | [License](https://github.com/QwenLM/Qwen/blob/main/LICENSE) | ❌  |
| ✅ SmolVLM-Instruct | 2B | [Blog](https://huggingface.co/blog/smolvlm) | [Hub](https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct) | Apache 2.0 | ✅  |

#### Base Models

| Model | Size | Paper | HF Hub | License | Open |
|-------|------|-------|---------|----------|------|
| ✅ SmolLM2 | 135M/360M/1.7B | [Blog](https://huggingface.co/blog/smollm) | [Hub](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) | Apache 2.0 | ✅ |
| ✅ Llama 3.2 | 1B/3B | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-3.2-3b) | [License](https://llama.meta.com/llama3/license/) | ❌  |
| ✅ Llama 3.1 | 8B/70B/405B | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-3.1-70b) | [License](https://llama.meta.com/llama3/license/) | ❌  |
| ✅ GPT-2 | 124M-1.5B | [Paper](https://arxiv.org/abs/2005.14165) | [Hub](https://huggingface.co/gpt2) | MIT | ✅ |
| DeepSeek V2 | 7B/13B | [Blog](https://www.deepseek.com/blogs/deepseek-v2) | [Hub](https://huggingface.co/deepseek-ai/deepseek-llm-7b-v2) | [License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/LICENSE-MODEL) | ❌ |
| Gemma2 | 2B/9B | [Blog](https://ai.google.dev/gemma) | [Hub](https://huggingface.co/google/gemma2-7b) | [License](https://ai.google.dev/gemma/terms) | ❌ |
| GPT-J | 6B | [Blog](https://www.eleuther.ai/artifacts/gpt-j) | [Hub](https://huggingface.co/EleutherAI/gpt-j-6b) | Apache 2.0 | ✅ |
| GPT-NeoX | 20B | [Paper](https://arxiv.org/abs/2204.06745) | [Hub](https://huggingface.co/EleutherAI/gpt-neox-20b) | Apache 2.0 | ✅ |
| Mistral | 7B | [Paper](https://arxiv.org/abs/2310.06825) | [Hub](https://huggingface.co/mistralai/Mistral-7B-v0.1) | Apache 2.0 | ❌  |
| Mixtral | 8x7B/8x22B | [Blog](https://mistral.ai/news/mixtral-of-experts/) | [Hub](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) | Apache 2.0 | ❌  |
| MPT | 7B | [Blog](https://www.mosaicml.com/blog/mpt-7b) | [Hub](https://huggingface.co/mosaicml/mpt-7b) | Apache 2.0 | ✅ |
| OLMo | 1B/7B | [Paper](https://arxiv.org/abs/2402.00838) | [Hub](https://huggingface.co/allenai/OLMo-7B-hf) | Apache 2.0 | ✅ |
| ✅ Llama 4 Scout | 17B (Activated) 109B (Total) | [Paper](https://arxiv.org/abs/2407.21783) | [Hub](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E) | [License](https://llama.meta.com/llama4/license/) | ❌  |

#### Reasoning Models

| Model | Size | Paper | HF Hub | License | Open |
|-------|------|-------|---------|----------|------|
| ✅ gpt-oss | 20B/120B | [Paper](https://arxiv.org/abs/2508.10925) | [Hub](https://huggingface.co/openai/gpt-oss-120b) | Apache 2.0 | ❌  |
| ✅ Qwen3 | 0.6B-32B | [Paper](https://arxiv.org/abs/2505.09388) | [Hub](https://huggingface.co/Qwen/Qwen3-32B) | [License](https://github.com/QwenLM/Qwen/blob/main/LICENSE) | ❌  |
| Qwen QwQ | 32B | [Blog](https://qwenlm.github.io/blog/qwq-32b-preview/) | [Hub](https://huggingface.co/Qwen/QwQ-32B-Preview) | [License](https://github.com/QwenLM/Qwen/blob/main/LICENSE) | ❌ |

#### Code Models

| Model | Size | Paper | HF Hub | License | Open |
|-------|------|-------|---------|----------|------|
| ✅ Qwen2.5 Coder | 0.5B-32B | [Blog](https://qwenlm.github.io/blog/qwen2.5/) | [Hub](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) | [License](https://github.com/QwenLM/Qwen/blob/main/LICENSE) | ❌  |
| DeepSeek Coder | 1.3B-33B | [Paper](https://arxiv.org/abs/2401.02954) | [Hub](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct) | [License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/LICENSE-MODEL) | ❌  |
| StarCoder 2 | 3B/7B/15B | [Paper](https://arxiv.org/abs/2402.19173) | [Hub](https://huggingface.co/bigcode/starcoder2-15b) | [License](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement) | ✅ |

#### Math Models

| Model | Size | Paper | HF Hub | License | Open |
|-------|------|-------|---------|----------|------|
| DeepSeek Math | 7B | [Paper](https://arxiv.org/abs/2401.02954) | [Hub](https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct) | [License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/LICENSE-MODEL) | ❌  | |

</details>

## 📖 Documentation

To learn more about all the platform's capabilities, see the [Oumi documentation](https://oumi.ai/docs).

## 🤝 Join the Community!

Oumi is a community-first effort. Whether you are a developer, a researcher, or a non-technical user, all contributions are very welcome!

- To contribute to the `oumi` repository, please check the [`CONTRIBUTING.md`](https://github.com/oumi-ai/oumi/blob/main/CONTRIBUTING.md) for guidance on how to contribute to send your first Pull Request.
- Make sure to join our [Discord community](https://discord.gg/oumi) to get help, share your experiences, and contribute to the project!
- If you are interested in joining one of the community's open-science efforts, check out our [open collaboration](https://oumi.ai/community) page.

## 🙏 Acknowledgements

Oumi makes use of [several libraries](https://oumi.ai/docs/en/latest/about/acknowledgements.html) and tools from the open-source community. We would like to acknowledge and deeply thank the contributors of these projects! ✨ 🌟 💫

## 📝 Citation

If you find Oumi useful in your research, please consider citing it:

```bibtex
@software{oumi2025,
  author = {Oumi Community},
  title = {Oumi: an Open, End-to-end Platform for Building Large Foundation Models},
  month = {January},
  year = {2025},
  url = {https://github.com/oumi-ai/oumi}
}
```

## 📜 License

This project is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for details.


[^1]: Open models are defined as models with fully open weights, training code, and data, and a permissive license. See [Open Source Definitions](https://opensource.org/ai) for more information.
