Release v0.2.0

LLiMa v0.2.0 updates SiMa.ai's low-level GenAI runtime and model tooling for the Neat 0.2.0 / Platform 2.1.2 line. This release aligns LLiMa with the current Neat SDK, Modalix runtime packages, and dispatcher/internals ABI used by the 2.1.x platform generation.

LLiMa is packaged together with the Neat Library. For most application development, install and use the Neat Library first; it provides the higher-level APIs and development workflow that sit above LLiMa. Use LLiMa directly when you need lower-level GenAI runtime, model-management, or Model Compiler integration.

Highlights

Platform 2.1.2 Compatibility

This release updates LLiMa package metadata and build integration for the Platform 2.1.2 generation:

• Package version moves to 0.2.0.
• Platform compatibility moves to 2.1.2.
• SDK dependency resolution is aligned with the current Neat packaging flow.
• Vulcan builds now default to the production artifact environment.
• The required simaai-memory-lib dependency is pinned through CMake configuration instead of relying on the older 2.0.0-era dependency behavior.

Standard sima-cli Installation

LLiMa now follows the standard Neat package installation path:

sima-cli neat install llima

To install a specific release, branch, or artifact reference:

sima-cli neat install llima@<version-or-ref>

This replaces older manual artifact download and Debian package installation guidance with the same package flow used across the Neat ecosystem.

Better SDK And Cross-Build Behavior

The build system has been updated for current eLxr SDK and sysroot workflows:

• Adds explicit compiler, sysroot include, and linker path handling in toolchain-sima.cmake.
• Improves Python 3.11 and nanobind discovery during cross-compilation.
• Uses target SDK headers and libraries where required, while still supporting local development builds.
• Allows local Neat internals package directories through NEAT_INTERNALS_PACKAGE_DIR for development and debugging.
• Keeps Vulcan artifact resolution as the default path for normal CI and release builds.
• Tightens post-install validation so incomplete Neat internals installations fail early with clearer diagnostics.

Runtime Integration With Current Internals

LLiMa's Modalix runtime path has been updated for the current prepared-dispatch APIs:

• Uses prepared MLA dispatch APIs for model execution.
• Uses prepared run references for single-run and queued execution paths.
• Adds relocation update handling through the dispatcher rather than ignoring relocation requests.
• Improves model release behavior so dispatcher access is reused and cleanup errors remain visible.

These changes keep LLiMa synchronized with the 2.1.x internals and dispatcher ABI.

Documentation Refresh

The documentation and README were updated to reflect the current customer-facing workflow:

• Installation guidance now points to sima-cli neat install llima.
• Setup links now point to the current sima-cli documentation.
• Examples links now use the current developer portal location.
• Supported model tables now include direct SiMa.ai Hugging Face model links for LLM, VLM, and ASR models.

Compatibility Notes

• Compatible platform release: 2.1.2.
• Intended Neat package line: 0.2.0.
• Install the Neat Library for the higher-level application APIs and runtime workflow; LLiMa remains the lower-level GenAI runtime and model tooling layer.
• LLiMa v0.2.0 should not be mixed with the 2.0.0 / Neat 0.1.x platform line unless explicitly testing compatibility boundaries.

Validation

Release readiness was based on the successful develop and promotion CI runs referenced in the release PR, including:

• 2.1.x platform preparation and build compatibility validation.
• Documentation and setup link refresh validation.
• Final develop-to-main promotion for the v0.2.0 release.

Included PRs

• #33 - Merge 2.1.1 preparation work into develop
• #30 - Refresh documentation links and supported model table
• #34 - Promote LLiMa develop to main for the v0.2.0 release

Full Changelog: v0.1.0...v0.2.0