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alvarobartt/hf-mem

A CLI to estimate inference memory requirements for Hugging Face models, written in Python.

Python ◇ gguf MIT
★950STARS
⑂84FORKS
!2ISSUES
🏆#8,877GLOBAL RANK
🔥1DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

hf-mem is hf-mem is an open-source project written in Python: A CLI to estimate inference memory requirements for Hugging Face models, written in Python..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), alvarobartt/hf-mem has accumulated 950 GitHub stars and 84 forks. It is written in Python, licensed under MIT, and ranks #8,877 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
Repository alvarobartt/hf-mem ↗
Primary Category gguf
Language & Stack Python
Software License MIT
Community Traction ★ 950 stars · ⑂ 84 forks · #8,877 globally
Maintenance ● Active (Last commit: Nov 12, 2026) · 2 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is hf-mem actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, hf-mem is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 950 stars and 84 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 12, 2026
0 days since last push
Issue Backlog
2 Open Issues
Healthy Issue Cadence
Community Backing
84 Forks
950 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for alvarobartt/hf-mem
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Momentum

+24

STARS · LAST 30 DAYS

1

PER DAY

#1,283

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+24+90
Per day111
Forks gained+1+3+10

hf-mem gained 24 stars in the last 30 days, about 1 a day, and now has 950. It is about 1 year old and has averaged roughly 950 stars a year. It ranks #1,283 among Python repositories and #8,877 across all languages on GitHubRepo.

Trending Record

hf-mem has maintained a continuous presence across global trending indexes, peaking at #13189. Below is the 30-day activity profile:

💡 Overview

hf-mem is an open-source project written in Python: A CLI to estimate inference memory requirements for Hugging Face models, written in Python.

Engineered for speed, consistency, and developer ease, it solves common hurdles in gguf, hf-extension, huggingface. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install hf-mem

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

hf-mem coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed hf-mem into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install hf-mem using your package manager: `pip install hf-mem`

2

Initialize your project workspace or configuration file for hf-mem.

3

Import hf-mem into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `hf-mem --help` to verify successful setup.

👍 Strengths

Active community backing with 950 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

alvarobartt/hf-mem is currently ranked #8,877 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,871 enriclluelles/route_translator Ruby ★ 952 Compare ↗
#8,871 HelloCSV/HelloCSV TypeScript ★ 952 Compare ↗
#8,871 nixops4/nixops4 Rust ★ 952 Compare ↗
#8,875 Apicurio/apicurio-registry Java ★ 951 Compare ↗
#8,875 phparkitect/arkitect PHP ★ 951 Compare ↗
#8,877 alvarobartt/hf-mem This Project Python ★ 950
#8,877 dkandalov/live-plugin Kotlin ★ 950 Compare ↗
#8,877 engine262/engine262 TypeScript ★ 950 Compare ↗
#8,877 raphaelameaume/fragment JavaScript ★ 950 Compare ↗
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Frequently Asked Questions

What does hf-mem do? +

A CLI to estimate inference memory requirements for Hugging Face models, written in Python.

Is hf-mem actively maintained in 2026? +

Yes, hf-mem is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 950 stars and 2 open issues.

What language is hf-mem written in? +

The primary language is Python. Topics include: gguf, hf-extension, huggingface, safetensors.

How many stars does hf-mem have? +

hf-mem has 950 stars and 84 forks on GitHub.

How does hf-mem rank among GitHub repositories? +

With 950 stars, alvarobartt/hf-mem is ranked #8,877 globally across all repositories tracked on GitHubRepo and #1,283 among Python projects.

What license is hf-mem distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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