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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[1.22.0] - 2024-10-14

Removed

  • [Server] Remove deprecated self extending context window from llama-server example
  • [Server] Remove --log-disable from llama-server example

[1.21.0] - 2024-08-03

Added

  • [Server] Add -help option
  • [Server] Add -chatTemplate option
  • [Server] Add human readable file size
  • [Benchmark] Add llama-bench example

Changed

  • [Build] Update torch to 2.2.1+cu121
  • [Build] Update OpenBLAS to 0.3.27
  • [Build] Update Python to 3.12
  • [Server] Default KV cache type to f16
  • [Documentation] Use gemma-2-9b-it-IQ4_XS.gguf model across all examples

Fixed

  • [Build] Fix CUDA build after renaming in upstream llama.cpp
  • [Build] Fix gguf_dump.py after renaming in upstream llama.cpp
  • [Build] Add missing tiktoken package to support GLM models
  • [Build] Fix wikitext URI

Removed

  • [Server] Remove broken chrome startup

[1.20.0] - 2024-06-13

Changed

  • [Build] Simplify the python dependency installation
  • [Build] Downgrade the "torch" package to 2.1.2+cu121

[1.19.0] - 2024-06-13

Added

  • [Build] Add build targets option

Changed

  • [Server] Change binary server to llama-server to match renaming in llama.cpp project
  • [Tools] Change binary tokenize to llama-tokenize to match renaming in llama.cpp project
  • [Documentation] Update examples to match the state of the llama.cpp project

[1.18.0] - 2024-06-05

Added

  • [Server] Limit KV cache data types to f32, f16, q8_0 and q4_0

Changed

  • [Build] Rename cuBLAS to CUDA

[1.17.0] - 2024-06-04

Added

  • [Server] Add kvCacheDataType option
  • [Server] Automatically enable q4_0 quantized KV cache with Flash Attention
  • [Server] Automatically enable Flash Attention on GPUS with at least Pascal architecture
  • [Build] Enable parallel building with CMake utilizing all CPU threads

[1.16.0] - 2024-05-30

Added

  • [Server] Add verbose option
  • [Server] Output the exact invocation command of the llama.cpp server

[1.15.0] - 2024-05-27

Added

  • [Tools] Add count_tokens.ps1 script
  • [Server] Add n-predict option

Changed

  • [Build] Update "torch" package to 2.4.0.dev20240516+cu121

[1.14.0] - 2024-04-30

Added

  • [Server] Enable flash attention

Fixed

  • [Build] Fix installation of latest python packages

Removed

  • [Server] Remove now per default enabled option --cont-batching

[1.13.0] - 2024-03-12

Added

  • [Server] Add -port option
  • [Build] Add list of installed python packages

Changed

  • [Build] Update "torch" package to 2.3.0.dev20240311+cu121

[1.12.0] - 2024-03-01

Added

  • [Server] Add fallback for empty head_count_kv values
  • [Server] Add fallback if model details could not be read by gguf-dump.py

[1.11.0] - 2024-02-20

Added

  • [Server] Add filename of the model path as an alias
  • [Server] Add support for self extending the context window (SelfExtend)

[1.10.0] - 2024-02-19

Added

  • [Server] Add automatic calculation of numberOfGPULayers option
  • [Server] Add formatted output of computed memory details

Fixed

  • [Server] Fix numberOfGPULayers option override

[1.9.0] - 2024-02-11

Added

  • [Server] Add contextSize option
  • [Server] Add numberOfGPULayers option

[1.8.0] - 2024-01-31

Added

  • [Server] Add parallel option
  • [Server] Add support for executing the server example script from any directory

[1.7.0] - 2024-01-29

Added

  • [Server] Add listing available models if model path is missing
  • [Server] Add KV cache placeholder
  • [Server] Add polling for server before starting the browser
  • [Server] Add maximum of 10 parallel job executions

[1.6.0] - 2024-01-25

Added

  • [Build] Add automatic NVIDIA GPU detection in the build context

Changed

  • [Server] Replace all server examples with one generic server.ps1 script
  • [Build] Update OpenBLAS to v0.3.26

Fixed

  • [Build] Fix python requirements installation

[1.5.0] - 2023-09-28

Added

  • [Build] Add Falcon 180B convert script
  • [Build] Add additional convert requirements for Falcon models
  • [Server] Add example for Falcon 40B model
  • [Server] Add example for FashionGPT 70B model
  • [Server] Add example for Llama 2 7B model
  • [Server] Add example for Llama 2 13B model
  • [Server] Add example for Upstage Llama 2 70B
  • [Server] Add example for Phind CodeLlama 34B model
  • [Server] Add example for Phind CodeLlama 34B model with 16k context
  • [Server] Add example for Phind CodeLlama 34B model with 32k context
  • [Server] Add example for WizardCoder 15B model
  • [Server] Add example for Mistral 7B model
  • [Prompt] Add prompt to chat with Llama 2

[1.4.0] - 2023-09-01

Added

  • [Prompt] Add german language prompt
  • [Grammar] Add JSON grammar with floating point numbers support
  • [Documentation] Add RoPE parameter to documentation
  • [Documentation] Add JSON response to documentation
  • [Documentation] Add version parameter to documentation
  • [Documentation] Add prompt cache to documentation
  • [Documentation] Add enabling of Hardware Accelerated GPU Scheduling to documentation

Fixed

  • [Build] Fix python requirements installation

[1.3.0] - 2023-07-13

Added

  • [Build] Add optional version parameter
  • [Build] Add console output and execution duration

Changed

  • [Build] Default llama.cpp version to latest release tag

[1.2.0] - 2023-07-06

Added

  • [Build] Add server example to the build
  • [Build] Add documentation on how to use the webinterface

Fixed

  • [Build] Fix automatic update of the submodules

[1.1.0] - 2023-07-03

Added

  • [Build] Add dataset "wikitext-2-raw-v1"
  • [Build] Add documentation on how to measure model perplexity

[1.0.0] - 2023-06-28

Added

  • [Build] OpenBLAS workaround for Windows
  • [Build] Rebuild script