> This page is for Evo 2, version 2.0.0.
> 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

## 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/evo2/2.0.0/prerequisites). Older GPUs are not currently
supported.

Ensure you always use the [benchmarking](/nim/bionemo/evo2/2.0.0/benchmarking) suite so that the
deployed model works as expected.