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Update release notes to v2.7
Signed-off-by: Timur Rvachov <[email protected]>
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VERSION

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2.7rc1
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2.7

docs/docs/main/about/releasenotes-fw.md

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# Release Notes
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## BioNeMo Framework v2.7rc1
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## BioNeMo Framework v2.7
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### Updates & Improvements
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- Adds a header to SCDL archives, providing improved provenance tracking and supporting future releases. Also adds tracking of the AnnData API coverage in SCDL tests.
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- Added a header to SCDL archives, providing improved provenance tracking and supporting future releases. Also adds tracking of the AnnData API coverage in SCDL tests.
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This header stores metadata about the archive and its composite arrays, including a version, the array lengths and data types, and information about the RowFeatureIndexes. This adds the features necessary to fix https://github.com/NVIDIA/bionemo-framework/issues/999 as well as implement simple bit-packing of the rowptr, colptr, and data arrays. It also should make SCDL more secure, enable strict compatibility checking, and open the door to more performance improvements. https://github.com/NVIDIA/bionemo-framework/pull/1030
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- Spike-no-more support for potentially improved training stability: https://github.com/NVIDIA/bionemo-framework/pull/1011
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- [Spike-no-more](https://arxiv.org/abs/2312.16903) support for improved training stability: https://github.com/NVIDIA/bionemo-framework/pull/1011
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- Improvements in tag masking in Evo2 loss https://github.com/NVIDIA/bionemo-framework/pull/1008
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- Flash decode support in inference https://github.com/NVIDIA/bionemo-framework/pull/1000
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- Evo2 improvements:
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- Evo2 Lora feature by @gabenavarro https://github.com/NVIDIA/bionemo-framework/pull/980
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- LoRA finetuning by @gabenavarro https://github.com/NVIDIA/bionemo-framework/pull/980. Note, internal CI coverage of LoRA convergence is still work-in-progress, therefore we cannot guarantee convergence.
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- Fix 2x memory usage issue during Evo2 generation https://github.com/NVIDIA/NeMo/pull/14515
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- Flash decode support in inference https://github.com/NVIDIA/bionemo-framework/pull/1000
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- Update Rotary Embedding and sequence length defaults to support incorrect checkpoint conversion https://github.com/NVIDIA/NeMo/pull/14514
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- Added partial-conv benchmark for Evo 2 finetune (from checkpoint) and Evo 2 LoRA finetuning https://github.com/NVIDIA/bionemo-framework/pull/1028
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- `bionemo-geometric` has been deprecated and removed. The molecular featurization tooling in this package has moved to [cuik-molmaker](https://github.com/NVIDIA-Digital-Bio/cuik-molmaker?ncid=so-twit-156637)
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### Known Issues
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- Users have reported issues in the predict script at sequence lengths over 8192 https://github.com/NVIDIA/bionemo-framework/issues/910 and https://github.com/NVIDIA/bionemo-framework/issues/1048 for example.
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- PR in progress to update Rotary Embedding and sequence length defaults to support incorrect checkpoint conversion https://github.com/NVIDIA/NeMo/pull/14514
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- PR in progress to fix 2x memory usage issue during generation https://github.com/NVIDIA/NeMo/pull/14515
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- Users have reported issues with Evo2 predict script at sequence lengths over 8192 https://github.com/NVIDIA/bionemo-framework/issues/910 and https://github.com/NVIDIA/bionemo-framework/issues/1048 for example.
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- We have removed `libtiff` from the container due to a known vulnerability, [CVE-2025-9900](https://ubuntu.com/security/CVE-2025-9900). `libtiff` isn't directly used in any bionemo code, however users might face issues with e.g. Pillow or other common image manipulation libraries inside this container.
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## BioNeMo Framework v2.6.3
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