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())
Metadata
Release files for rvn 0.1.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| rvn-0.1.8-cp310-cp310-manylinux_2_34_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.34+ x86-64 | Details for rvn-0.1.8-cp310-cp310-manylinux_2_34_x86_64.whl |
Release files / rvn-0.1.8-cp310-cp310-manylinux_2_34_x86_64.whl
| Download URL | rvn-0.1.8-cp310-cp310-manylinux_2_34_x86_64.whl |
|---|---|
| Size | 17.7 MB |
| Tags | CPython 3.10 Linux glibc 2.34+ x86-64 |
|
SHA-256 checksum How to use checksums |
afb3d5ee8e2625d59416b963dd6487042a1906b33f49e55d6787b4002beddd3c
|
|
BLAKE2b-256 checksum How to use checksums |
4886ef25546108ad183d6b05cb74554547f465ae830a401396de03f57290c748
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.12
|
Security for rvn 0.1.8
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