> This page is for Evo 2, version 2.2.0 (Latest) (default). > For other versions, use one of these documentation indexes: > - 2.2.0 (Latest) (default): https://docs.nvidia.com/nim/bionemo/evo2/2.2.0/llms.txt > - 2.1.0: https://docs.nvidia.com/nim/bionemo/evo2/2.1.0/llms.txt > - 2.0.0: https://docs.nvidia.com/nim/bionemo/evo2/2.0.0/llms.txt > - 1.0.2: https://docs.nvidia.com/nim/bionemo/evo2/1.0.2/llms.txt > - 1.0.1: https://docs.nvidia.com/nim/bionemo/evo2/1.0.1/llms.txt > - 1.0.0: https://docs.nvidia.com/nim/bionemo/evo2/1.0.0/llms.txt > For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/nim/bionemo/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/bionemo/_mcp/server. # Release Notes ## September 16, 2026 ## Release 2.2.0 ### Summary This is a stability release. It addresses security vulnerabilities, includes bug fixes, and improves runtime reliability. The 7B and 40B model variants and APIs are unchanged from 2.1.0. ### Model Variants * Evo 2 7B 1M * Evo 2 40B 1M ### New features and improvements * Addressed Common Vulnerabilities and Exposures (CVE) issues in container dependencies and the base image. * Improved runtime stability and reliability. ### Bug fixes * Resolved issues that could affect inference stability. ### Breaking changes * None. ### Migration notes * No migration steps are required for existing users of the 2.1.0 container. ## September 25, 2025 ## Release 2.1.0 ### Summary This release introduces support for the Evo 2 7B 1M model variant, providing a faster and more resource-efficient option while maintaining strong accuracy for most use cases. The 40B 1M model remains available as the default for maximum accuracy. This update also includes documentation improvements, clarifies advanced usage and model selection, and updates the release notes to reflect the new model variant. Since the container now supports both 40B/7B variants and custom models, the name of the container has changed from `evo2-40b` to just `evo2`. New releases are still published under both names for compatibility and convenience of existing users. ### Model Variants * Evo 2 7B 1M * Evo 2 40B 1M ### New features and improvements * Added support for the Evo 2 7B 1M model variant, selectable via the `NIM_VARIANT=7b` environment variable. * Updated documentation to describe model selection and advanced usage. * Container name changed from `evo2-40b` to `evo2` to reflect support for multiple model variants and custom models. ### Bug fixes * Minor documentation corrections and formatting fixes. ### Performance enhancements * The 7B model variant offers reduced memory and compute requirements, enabling faster inference. ### Breaking changes * None. ### Migration notes * No migration steps are required for existing users of the 40B model. To use the 7B model, set the `NIM_VARIANT` environment variable to `7b` when launching the container. * The container is now available under the name `evo2` instead of `evo2-40b`, though both names remain available for compatibility. ## August 28, 2025 ## Release 2.0.0 ### Summary This major release introduces support for loading custom and fine-tuned checkpoints, enabling users to leverage their own model weights or community-provided variants. The internal implementation of NIM has migrated to the [NVIDIA BioNeMo Framework](https://github.com/NVIDIA/bionemo-framework), providing unified training and inference code bases and standardized checkpoint formats. Thanks to the migration to the BioNeMo Framework, new Evo 2 NIM release delivers up to 30% faster inference workflows compared to the 1.x series. **Important:** Due to the change in internal model representation, model layer names and parameter shapes have changed. As a result, `/forward` API calls are not backward-compatible with 1.x releases. ### Model Variant * Evo 2 40B 1M ## May 28, 2025 ## Release 1.0.2 ### Summary This is a minor update that includes changes that enhance stability for users operating in multi-GPU environments and improve compatibility with new NIM versions: * Resolved an issue related to FP8 extra states when running on specific combinations of GPU interconnects and CPUs. The fix ensures correct handling of FP8 extra states, with additional checks to verify correct functionality. * Updated `nimlib` and related dependencies to improve compatibility with the latest NIM releases. ### Model Variant * Evo 2 40B 1M ## April 30, 2025 ## Release 1.0.1 ### Summary This is a minor update that includes the following changes: * The input prompt is now automatically converted to uppercase internally, helping to prevent the common mistake of supplying lowercase DNA sequences to the model. * For non-recoverable errors, such as unrecoverable memory ECC errors, the health endpoint will now reflect the error status. This allows cloud infrastructure to redeploy the instance to healthy hardware. ### Model Variant * Evo 2 40B 1M ## February 18, 2025 ## Release 1.0.0 ### Summary This is the first release of Evo 2 NIM. Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences, while retaining sensitivity to single-nucleotide changes. This release features 40 billion parameters model trained on 11 trillion DNA nucleotides with context-length of up to 1 million DNA nucleotides. ### Model Variant * Evo 2 40B 1M ### Notes and Limitations Ensure you use this model with GPUs that have FP8 support, such as NVIDIA H100, NVIDIA H200, or newer. For more information, see [Prerequisites and Support Matrix for Evo2 NIM](/nim/bionemo/evo2/prerequisites). Older GPUs are not currently supported. Ensure you always use the [benchmarking](/nim/bionemo/evo2/benchmarking) suite so that the deployed model works as expected.