Tool overview
llamafile is listed under AI Models & Platforms AI tools.
What is llamafile?
llamafile packages model weights with an optimized runtime into one cross-platform executable. The Mozilla.ai project runs local LLMs without installation on major operating systems, can expose a local server, supports recent GGUF models, and also includes whisperfile for portable speech transcription and translation.
Best for
Developers and users distributing or running private local models
Who is it for?
Decision note
Accepted for Preview after independent V411 official-source research. Apply only after failures = 0, warnings = 0, unmapped = 0, and all proposed changes are reviewed.
Key features
Single-file executable containing model and runtime
Local inference without a separate installation stack
Cross-platform CPU and GPU acceleration options
Local server plus portable whisperfile speech tooling
Use cases
Run local language models offline
Distribute a model as one executable
Expose a private local inference server
Transcribe audio with portable whisperfile
Pros
- Apache-2.0 open-source project
- Minimal installation and packaging complexity
- Runs across several desktop operating systems
Cons
- Large models still require suitable memory and hardware
- Windows executables above 4GB need external weights
Limitations
Performance depends heavily on model size and hardware
Version 0.10 changes may omit features from classic releases
Pricing details
Billing options
Free open source
Pricing note
llamafile is free open-source software under Apache 2.0. There is no subscription or hosted plan. Users provide their own hardware and model files, and must follow the license terms of each packaged model.
Supported languages
- English
Integrations
GGUF models
llama.cpp
Cosmopolitan Libc
whisper.cpp




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