Skip to main content

Furiosa LLM Models

Furiosa LLM Models (furiosa-llm-models) provides a few optimized LLM Models for Furiosa RNGD

Formatting

Our CI checks Python source codes via Ruff which is a Python linter also a code formatter.

Installation

pip install ruff

Format & Lint check

make lint

Perform Formatting & Linting

make do-lint

Metadata

Release files for furiosa-llm-models 2025.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for furiosa-llm-models 2025.3.0
File Interpreter ABI Platform
furiosa_llm_models-2025.3.0-py3-none-any.whl Python 3 none any Details

Release files / furiosa_llm_models-2025.3.0-py3-none-any.whl

Download URL furiosa_llm_models-2025.3.0-py3-none-any.whl
Size 582.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
88c109a56d41e015687afe47fddb4cdb921855b964cb3e66f0514fd76df3015d
BLAKE2b-256 checksum
How to use checksums
a965a80f5ba21ebe71d6444aeca246c48d08898b90bd2c32e8a426b52df42981
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.10.17

Release history Release notifications | RSS feed

This release

2025.3.0 This release

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page