sci-ml/colibri (bennypowers)

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Install

Install this package:

emerge -a sci-ml/colibri

Package Information

Description:
Colibri runs GLM-5.2 (744B-parameter MoE) on consumer hardware with as little as 25GB RAM. Pure C engine with zero runtime dependencies, streaming experts from disk with an LRU cache. Supports MLA attention, MTP speculative decoding, and optional CUDA GPU offloading.
Homepage:
https://github.com/JustVugg/colibri
License:
Apache-2.0

Versions

Version EAPI Keywords Slot
9999 8 0
1.1.1 8 ~amd64 0
1.1.0-r1 8 ~amd64 0
1.1.0 8 ~amd64 0

Metadata

Description

Maintainers

Upstream

Raw Metadata XML
<pkgmetadata>
	<maintainer type="person">
		<email>web@bennypowers.com</email>
		<name>Benny Powers</name>
	</maintainer>
	<longdescription lang="en">
		Colibri runs GLM-5.2 (744B-parameter MoE) on consumer hardware with
		as little as 25GB RAM. Pure C engine with zero runtime dependencies,
		streaming experts from disk with an LRU cache. Supports MLA attention,
		MTP speculative decoding, and optional CUDA GPU offloading.
	</longdescription>
	<use>
		<flag name="bench">Install dependencies for quality benchmarks
			(MMLU, HellaSwag, ARC)</flag>
		<flag name="cuda">Build with NVIDIA CUDA GPU offloading for
			resident expert tensors</flag>
		<flag name="python">Install the coli Python CLI for model management,
			chat, serving, and weight conversion</flag>
		<flag name="rocm">Build with AMD ROCm/HIP GPU offloading for
			resident expert tensors</flag>
	</use>
	<upstream>
		<remote-id type="github">JustVugg/colibri</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

USE Flags

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

Flag Description 9999 1.1.1 1.1.0-r1 1.1.0
bench Install dependencies for quality benchmarks (MMLU, HellaSwag, ARC)
cuda Build with NVIDIA CUDA GPU offloading for resident expert tensors
python Install the coli Python CLI for model management, chat, serving, and weight conversion
rocm Build with AMD ROCm/HIP GPU offloading for resident expert tensors

Manifest

Type File Size Versions
DIST colibri-1.1.0.tar.gz 3344699 bytes 1.1.0
DIST colibri-1.1.1.tar.gz 3362669 bytes 1.1.1
Unmatched Entries
Type File Size