Add multi-batch inference support, fix hivemind dependency, and improve installation process#27
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HaibaraAiChan merged 10 commits intoai-decentralized:mainfrom Nov 1, 2025
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Add multi-batch inference support, fix hivemind dependency, and improve installation process#27HaibaraAiChan merged 10 commits intoai-decentralized:mainfrom JiuChen0:upload
HaibaraAiChan merged 10 commits intoai-decentralized:mainfrom
JiuChen0:upload
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- Add --batch_size CLI argument for parallel sequence processing - Add conditional CUDA stream creation for CPU-only mode - Add device-aware ExecutionEnv and Policy resource distribution - Fix MPS compatibility on macOS
HaibaraAiChan
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Nov 1, 2025
JiuChen0
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Mar 22, 2026
…ve installation process (ai-decentralized#27) * Add batch inference support and CPU compatibility - Add --batch_size CLI argument for parallel sequence processing - Add conditional CUDA stream creation for CPU-only mode - Add device-aware ExecutionEnv and Policy resource distribution - Fix MPS compatibility on macOS * fix hardcode of model loading and support batch size * Resolving dependency conflicts * docs: refine README setup and usage sections for clarity and correctness * Add batch size related updates * delete ddebug output * delete .id files * fix max token size problem * add prompt * clear the debug print --------- Co-authored-by: Danny Willow Liu <dannywillowliu@uchicago.edu>
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Key Changes
Multi-batch inference support
Enables inference with variable batch sizes for better performance and scalability.
Fix hivemind dependency installation issue
Resolved issues with installing hivemind dependencies in certain environments.
Remove hardcoded model restriction
Removed the hardcoded limitation that only allowed loading LLaMA 7B, enabling support for other model sizes.
Update installation instructions in
README.mdSimplified the installation process. The entire BloomBee environment can now be installed and configured with a single command:
pip install -e .