Skip to main content

Lightning-fast LLM model introspection

Project description

rvnllm

rvnllm is a blazing-fast Python package for inspecting, diffing, and analyzing GGUF-based LLM model files.

Think ExifTool, but for large language models.

Features

  • Zero-copy GGUF model parsing
  • Tensor-level metadata inspection
  • Structural diffs between model files
  • Cross-platform wheels (Linux, macOS, Windows)

Installation

pip

pip install rvnllm

Build from source

git clone https://github.com/rvnllm/rvnllm.git
cd py/rvn_py
maturin build --release
pip install dist/*.whl

Usage example

import rvnllm

df = rvnllm.info("Llama-3-70B-Q4_0.gguf")
print(df.head())

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rvnllm-0.1.11-cp310-cp310-manylinux_2_34_x86_64.whl (17.7 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.34+ x86-64

File details

Details for the file rvnllm-0.1.11-cp310-cp310-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for rvnllm-0.1.11-cp310-cp310-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 4efcbfee378b5a86800b90845c0a7f6b4858df24a4c66c92a687a03f402804f2
MD5 a47f27b667efd2dfb38bfddf2b156434
BLAKE2b-256 1d65232fa2279557f78c269cb3222affbdc5338eef0bffce30083cc6a3f225fe

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page