mirror of
https://github.com/ravenscroftj/turbopilot.git
synced 2024-10-01 01:06:01 -04:00
39 lines
2.0 KiB
Markdown
39 lines
2.0 KiB
Markdown
# Changelog
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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- Fixed issue with static build in docker not working.
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- Integrated CUDA functonality from llama.cpp upstream which accelerates inference for long prompts
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## [0.0.4] 2023-04-14
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- Added multi-threaded server support which should prevent health checks aimed at `GET /` from failing during prediction.
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- Separated autocomplete lambda into a separate C++ function so that it can be bound to `/v1/completions`, `/v1/engines/copilot-codex/completions` and `/v1/engines/codegen/completions`
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- Removed `model` from completion input as required param which stops the official copilot plugin from freaking out
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- Integrate latest changes from upstream ggml including some fixes for ARM NEON processor
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- Added Mac builds as part of CI
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- Support for fork of [vscode-fauxpilot](https://github.com/ravenscroftj/vscode-fauxpilot) with a progress indicator is now available ([PR](https://github.com/Venthe/vscode-fauxpilot/pull/26) is open upstream, please react/vote for it).
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## [0.0.3] 2023-04-13
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- Added 350M parameter codegen model to Google Drive folder
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- Added multi-arch docker images so that users can now directly run on Apple silicon and even raspberry pi
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- Now support pre-tokenized inputs passed into the API from a Python tokenizer (thanks to @thakkarparth007 for their PR - https://github.com/ravenscroftj/ggml/pull/2)
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## [0.0.2] - 2023-04-12
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- Project now builds on Mac OS (Thanks to @Dimitrije-V for their PR https://github.com/ravenscroftj/ggml/pull/1 and @dabdine for contributing some clearer Mac build instructions)
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- Fix inability to load vocab.json on converting the 16B model due to encoding of the file not being set by @swanserquack in #5
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- Improve performance of model by incorporating changes to GGML library from @ggerganov
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## [0.0.1] 2023-04-10
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- Turbopilot is born! |