Our verdict
We have not reviewed llama.cpp yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About llama.cpp
llama.cpp runs large language models locally using C/C++ inference optimized for CPU and GPU execution. It enables developers to deploy quantized models with minimal dependencies and memory overhead, making LLM inference practical on consumer hardware.
Best for
Developers building privacy-first applications or deploying models on resource-constrained devices
Use cases
- Running open-source models offline without API calls
- Embedding LLM capabilities into applications with low latency
- Quantizing and optimizing models for edge deployment
Notes
114,160 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Pros
- Extremely efficient inference on CPU and GPU with minimal resource requirements
- Supports quantized model formats, reducing model size by 4-8x without major quality loss
- Active community with broad hardware compatibility and regular model support updates
Cons
- Steeper setup curve than API-based solutions, requires compilation and model management
- Performance varies significantly based on hardware, CPU inference is substantially slower than GPU
- Limited to inference only, no built-in fine-tuning or training capabilities
Key facts
What we have checked
- Days since the last commit
- 0
- GitHub forks
- 24,837
- GitHub stars
- 132,422
- Open issues
- 781
- Releases in the last 90 days
- 100
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Health and security
Is llama.cpp looked after, and what do its setup files show
Health score
100 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 0 days ago |
| Releases | 15 of 15 | 100 releases in 90 days |
| Issue replies | Not counted | The latest check has no issue response reading (fewer than 3 measured issues, or issues switched off) |
| Maintainer | 15 of 15 | Owned by an organisation |
| Official source | Not counted | MCP servers only |
Alternatives
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| bitnet.cppAlternative to this | App | Named in the listing | Not dated |
| exllamaAlternative to this | Open source | Named in the listing | Not dated |
| gpt4allAlternative to this | App | Named in the listing | Not dated |
| Llama 3-8|70BAlternative to this | Open source | Named in the listing | Not dated |
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| mistral.rsAlternative to this | Open source | Named in the listing | Not dated |
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| OpenAI APIAlternative to this | App | Named in the listing | Not dated |
| Rapid-MLXAlternative to this | Open source | Named in the listing | Not dated |
| ShimmyAlternative to this | Open source | Named in the listing | Not dated |
| text-generation-inferenceAlternative to this | Open source | Named in the listing | Not dated |
| OllamaThis is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare llama.cpp side by side
Sources
Where this comes from
- GitHubRegistry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
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