mozilla-ai/llamafile

Distribute and run LLMs with a single file.

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mozilla-ai/llamafile has 26k+ stars and 1.5k+ forks on GitHub, is written in C++, and was last pushed on Oct 12, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 35 minutes ago
Added to GitGenius on September 2nd, 2026
Created on September 10th, 2023
Open Issues & Pull Requests: 215 (+0)
GitHub issues: Enabled
Number of forks: 1,716
Total Stargazers: 26,372 (+3)
Total Subscribers: 234 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 28.3 hours
Mean response time: 27.9 days
90th percentile: 77.2 days
Tracked items: 227

Maintainer activity

3 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

About 13% of issues opened in the past year have never received a reply. 86% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "request to lend support" is answered fastest, typically in about an hour, while "enhancement" waits about 10 days. 69% of issues opened in the past year have been closed, leaving a working backlog. Three people close 78% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 122
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 528 days
Stale 30+ days: 118
Stale 90+ days: 109

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 1

Top labels

  • bug (135)
  • medium severity (47)
  • enhancement (43)
  • high severity (30)
  • low severity (27)
  • critical severity (26)
  • question (14)
  • request to lend support (10)

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Detailed Description

llamafile is a single-file executable tool that distributes and runs large language models locally across operating systems and CPU architectures without installation.

The tool solves the complexity of deploying open-source LLMs by combining llama.cpp with Cosmopolitan Libc into a unified framework. This approach packages everything needed to run a model into one executable file that works on most platforms with no setup required. The project also includes whisperfile, a companion single-file speech-to-text tool built on whisper.cpp that handles audio transcription and translation across the same range of platforms.

Developers should choose this tool if they want to distribute LLMs to end users without requiring installation steps or complex dependency management. It suits projects where portability and simplicity are priorities, particularly when targeting users across different operating systems. The tool works with GGUF format models and supports both bundled models and external weights. Users with powerful hardware or GPUs can select larger models for better accuracy, though Windows users should note that executables above 4GB require downloading the llamafile binary separately and running it with external model files.

The project underwent a significant rebuild starting from version 0.10.0 to align more closely with recent llama.cpp releases, enabling support for newer models and features while acknowledging that some previous functionality was not carried forward. The team maintains pre-built llamafiles with clear version labeling so users know which server version they are downloading. The project actively solicits user feedback through discussions and blog posts about what features matter most and where improvements would add value.