59.3k

Llama

Inference code for Llama models, a versatile solution for running Llama model inferences efficiently.

Llama is built in Python, 59.3k GitHub stars from 40 contributors, latest release v2.

When to use Llama

Llama is listed here as a AI project. The directory calls out Efficient model inference, Supports multiple Llama models, Optimized for performance as capabilities associated with it.

Other recorded traits for Llama include Easy integration, Open-source.

Besides AI, this page also files Llama under Development, Tools.

Llama compared with

Records in this directory name Hugging Face Transformers, TensorFlow, PyTorch as products people compare with Llama. That list is editorial metadata, not a claim that Llama replaces each of them.

What the Llama stats reflect

GitHub currently shows 59.3k GitHub stars, about 40 contributors, 9.8k forks, 521 open issues, latest tracked release v2. Star and activity counts here are a snapshot used as a proxy for community adoption, not a quality score.

Stats refreshed

Language
Python
Latest Release
v2
License
Other

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Key features of Llama

  • Efficient model inference
  • Supports multiple Llama models
  • Optimized for performance
  • Easy integration
  • Open-source

Recorded alternatives to Llama



Llama on GitHub

Stars
59.3k
Contributors
40
Open Issues
521
Forks
9.8k

Frequently asked questions

What is Llama?

Inference code for Llama models, a versatile solution for running Llama model inferences efficiently. This directory highlights Efficient model inference, Supports multiple Llama models, Optimized for performance.

What language is Llama written in, and what is the latest release?

Llama is written primarily in Python. The latest release tracked on this page is v2.

How widely is Llama used on GitHub?

Llama has about 59.3k GitHub stars across about 40 contributors. It also has about 9.8k forks. Those counts are a snapshot of community attention, not a ranking of quality.

What do people compare Llama with?

This directory records Hugging Face Transformers, TensorFlow, PyTorch as comparison points for Llama.