sci-ml/llama-cpp (gentoo-zh)

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Install

Install this package:

emerge -a sci-ml/llama-cpp

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-ml/llama-cpp

Or alternatively:

emerge --autounmask-write -a sci-ml/llama-cpp

Package Information

Description:
LLM inference in C/C++
Homepage:
https://github.com/ggml-org/llama.cpp
License:
MIT

Versions

Version EAPI Keywords Slot
9999 8 ~amd64 ~riscv 0
0_pre8583 8 ~amd64 ~riscv 0

Metadata

Maintainers

Upstream

Raw Metadata XML
<pkgmetadata>
	<maintainer type="person">
		<email>me@puqns67.icu</email>
		<name>Puqns67</name>
	</maintainer>
	<use>
		<flag name="blis">Build a BLIS backend</flag>
		<flag name="flexiblas">Build a FlexiBLAS backend</flag>
		<flag name="openblas">Build an OpenBLAS backend</flag>
		<flag name="rocm">Build a HIP (ROCm) backend</flag>
		<flag name="wmma">Use rocWMMA to enhance flash attention performance</flag>
		<flag name="opencl">Build an OpenCL backend, so far only works on Adreno and Intel GPUs</flag>
		<flag name="rpc">Build with rpc-server</flag>
		<flag name="server">Build with example server</flag>
	</use>
	<upstream>
		<remote-id type="github">ggml-org/llama.cpp</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

USE Flags

Manage flags for this package: euse -i <flag> -p sci-ml/llama-cpp | euse -E <flag> -p sci-ml/llama-cpp | euse -D <flag> -p sci-ml/llama-cpp

Flag Description 9999 0_pre8583
${CPU_FLAGS[*]} ⚠️
blis Build a BLIS backend
cuda ⚠️
examples Build and install examples ⚠️
flexiblas Build a FlexiBLAS backend
openblas Build an OpenBLAS backend
opencl Build an OpenCL backend, so far only works on Adreno and Intel GPUs
openmp ⚠️
rocm Build a HIP (ROCm) backend
rpc Build with rpc-server
server Build with example server
vulkan ⚠️
wmma Use rocWMMA to enhance flash attention performance

Manifest

Type File Size Versions
DIST llama-cpp-0_pre8583.tar.gz 29635898 bytes 0_pre8583
Unmatched Entries
Type File Size
DIST ggml-org_models_tinyllamas_stories15M-q4_0-99dd1a73db5a37100bd4ae633f4cfce6560e1567.gguf 19077344 bytes