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Zonghang Li 2d79554694 fix device_physical_memory
2024-12-09 14:42:49 +04:00
.devops
Fix Docker ROCM builds, use AMDGPU_TARGETS instead of GPU_TARGETS (#9641)
2024-09-30 20:57:12 +02:00
ci
rerank : use [SEP] token instead of [BOS] (#9737)
2024-10-05 15:55:04 +03:00
cmake
vulkan : cmake integration (#8119)
2024-07-13 18:12:39 +02:00
common
fix device_physical_memory
2024-12-09 14:42:49 +04:00
docs
Update building for Android (#9672)
2024-10-07 09:37:31 -07:00
examples
add automatic layer window size assignment workflow
2024-11-08 18:21:03 +04:00
figures
add illustration for memory allocation of activations
2024-11-29 10:34:21 +04:00
ggml
hide metal log if not debug
2024-12-09 09:17:49 +04:00
gguf-py
convert : handle tokenizer merges format from transformers 4.45 (#9696)
2024-10-03 17:22:15 +03:00
grammars
server : match OAI structured output response (#9527)
2024-09-18 09:50:34 +03:00
include
add memory copy speed test
2024-12-09 10:07:42 +04:00
media
README: add graphic for matrix multiplication (#6881)
2024-04-24 21:29:13 +02:00
models
llama : add support for Chameleon (#8543)
2024-09-28 15:08:43 +03:00
pocs
build: rename main → llama-cli, server → llama-server, llava-cli → llama-llava-cli, etc... (#7809)
2024-06-13 00:41:52 +01:00
prompts
llama : add Qwen support (#4281)
2023-12-01 20:16:31 +02:00
requirements
py : update transfomers version (#9694)
2024-09-30 18:03:47 +03:00
scripts
sync : llama.cpp
2024-10-06 12:53:28 +03:00
spm-headers
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
src
add memory copy speed test
2024-12-09 10:07:42 +04:00
tests
ggml : add backend registry / device interfaces to BLAS backend (#9752)
2024-10-07 21:55:08 +02:00
.clang-tidy
cuda : refactor into multiple files (#6269)
2024-03-25 13:50:23 +01:00
.dockerignore
ci : fix docker build number and tag name (#9638)
2024-09-25 17:26:01 +02:00
.ecrc
common : Update stb_image.h to latest version (#9161)
2024-08-27 08:58:50 +03:00
.editorconfig
cvector: fix CI + correct help message (#8064)
2024-06-22 18:11:30 +02:00
.flake8
py : logging and flake8 suppression refactoring (#7081)
2024-05-05 08:07:48 +03:00
.gitignore
common : refactor arg parser (#9308)
2024-09-07 20:43:51 +02:00
.gitmodules
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
.pre-commit-config.yaml
convert.py : add python logging instead of print() (#6511)
2024-05-03 22:36:41 +03:00
CMakeLists.txt
cmake : add option for common library (#9661)
2024-09-27 10:42:06 +03:00
CMakePresets.json
CMake fix: host for msvc compiler can only be x86 or x64 (#8624)
2024-09-06 00:14:12 +02:00
convert_hf_to_gguf_update.py
llama : add reranking support (#9510)
2024-09-28 17:42:03 +03:00
convert_hf_to_gguf.py
convert : refactor rope_freqs generation (#9396)
2024-10-01 09:31:36 +03:00
convert_llama_ggml_to_gguf.py
py : fix wrong input type for raw_dtype in ggml to gguf scripts (#8928)
2024-08-16 13:36:30 +03:00
convert_lora_to_gguf.py
convert : refactor rope_freqs generation (#9396)
2024-10-01 09:31:36 +03:00
flake.lock
flake.lock: Update (#9753)
2024-10-07 09:35:42 -07:00
flake.nix
build(nix): Package gguf-py (#5664)
2024-09-02 14:21:01 +03:00
LICENSE
license : update copyright notice + add AUTHORS (#6405)
2024-04-09 09:23:19 +03:00
Makefile
add cpu flops test
2024-11-09 20:53:42 +04:00
mypy.ini
convert : partially revert PR #4818 (#5041)
2024-01-20 18:14:18 -05:00
Package.swift
ggml-backend : add device and backend reg interfaces (#9707)
2024-10-03 01:49:47 +02:00
poetry.lock
build(python): Package scripts with pip-0517 compliance
2024-07-04 15:39:13 +00:00
pyproject.toml
build(nix): Package gguf-py (#5664)
2024-09-02 14:21:01 +03:00
pyrightconfig.json
ci : reduce severity of unused Pyright ignore comments (#9697)
2024-09-30 14:13:16 -04:00
README.md
init
2024-10-23 09:42:32 +04:00
requirements.txt
init
2024-10-23 14:29:14 +04:00
SECURITY.md
chore: Fix markdown warnings (#6625)
2024-04-12 10:52:36 +02:00

README.md

prima.cpp

This is a distributed implementation of llama.cpp, coming soon.

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Description
Fork of prima.cpp — distributed LLM inference with pipelined-ring parallelism (CUDA + ZMQ)
Readme MIT 48 MiB
Languages
C++ 55.2%
C 23.6%
Cuda 7.1%
Python 6.6%
Metal 2.4%
Other 5.1%