Who is vapor-ram for?

vapor-ram is an open-source project built for developers and technical users.

Yes — vapor-ram is open source under the Apache-2.0 license and free to use.

What platforms does vapor-ram run on?

vapor-ram runs on the command line and the web. It can also be self-hosted.

Is vapor-ram still active?

The GitHub repository shows 132 commits in the last 90 days.

What are alternatives to vapor-ram?

Similar projects tracked by PulseGate include Qwen3.8 27B, Zenlm, and GLM 5.3 Flash.

Who develops vapor-ram?

vapor-ram is developed by sudsarkar13.

When did vapor-ram launch?

vapor-ram first shipped in 2026.

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vapor-ram

Name: vapor-ram
Author: sudsarkar13

PyPIInfrastructure

vapor-ram is an Apache-2.0 local LLM inference server with a command-line interface and dashboard for running Google Gemma models. It is intended for developers and technical users who want to serve models on their own hardware.

Open SourceApache-2.0CLISelf-hostedWeb

Visit PyPI

Overview

4 features

vapor-ram sits in PulseGate's Other models category. It focuses on running and serving a local Gemma language model without relying on a hosted inference provider. vapor-ram is an open-source project aimed at developers and technical users. The project is open source (Apache-2.0). It ships for the command line and the web, and it can be self-hosted.

Behind vapor-ram is sudsarkar13, and it first shipped in 2026. Development happens publicly on GitHub with 132 commits in the last 90 days. Among its 4 catalogued features are local inference, CLI interface, and web dashboard.

Summary written by a language model from the project’s public pages.

Local inference
CLI interface
Web dashboard
Model serving

Built with & integrations

AI providers

local_oss

Runs on

CLISelf-hostedBrowser

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed17 Aug · 17:36 UTC
vapor-ram verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about vapor-ram

What does vapor-ram do?: Vapor-ram focuses on running and serving a local Gemma language model without relying on a hosted inference provider. It is catalogued under Other models on PulseGate.
Who is vapor-ram for?: vapor-ram is an open-source project built for developers and technical users.
Is vapor-ram free?: Yes — vapor-ram is open source under the Apache-2.0 license and free to use.
What platforms does vapor-ram run on?: vapor-ram runs on the command line and the web. It can also be self-hosted.
Is vapor-ram still active?: The GitHub repository shows 132 commits in the last 90 days.
What are alternatives to vapor-ram?: Similar projects tracked by PulseGate include Qwen3.8 27B, Zenlm, and GLM 5.3 Flash.Qwen3.8 27B Zenlm GLM 5.3 Flash
Who develops vapor-ram?: vapor-ram is developed by sudsarkar13.
When did vapor-ram launch?: vapor-ram first shipped in 2026.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: Apache-2.0
First seen: 17 Aug 2026
Built for: developers and technical users
Model: Open source
Solves: Running and serving a local Gemma language model without relying on a hosted inference provider.

Registered as

GitHub: sudsarkar13/vapor-ram
PyPI: vapor-ram

Developer

sudsarkar13

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 17 Aug 2026
Commits 90d: 132
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v1.0.7 · 16 Aug 2026

Index record

Indexed: 17 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 17 Aug 2026

Identity audit (13)

Slug: vapor-ram-pypi-org
Lifecycle last checked: 8 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 17 Aug 2026
Canonical URL: https://pypi.org/project/vapor-ram

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