Llama-Models

Visit Tool

llama-models is an open-source collection of utilities for Llama models, designed for developers and researchers. It provides tools for downloading, managing, and running Llama models, fostering innovation in generative AI.

Claim this tool

1View

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is llama-models?

llama-models offers a comprehensive suite of utilities for working with Llama large language models. It provides easy accessibility to cutting-edge LLMs, fostering collaboration and advancements among developers, researchers, and organizations. Users can download model weights and tokenizers, list available models, describe model details, and run inference with various quantization modes like FP8 and Int4 to optimize memory footprint. The platform supports both Meta's direct downloads and Hugging Face access, ensuring broad ecosystem compatibility. It emphasizes responsible use with dedicated guides and reporting mechanisms for issues and risky content, promoting ethical AI development.

Best used for

Ideal for developers and data scientists who need to access, manage, and run Llama models for their AI projects. Especially valuable for those looking to experiment with different model sizes, optimize inference with quantization, and integrate LLMs into custom applications.

Common actions

download AI models

manage LLM versions

run AI inference

optimize model performance

integrate AI models

github copilotface swappingopen-sourceautomated workflow"AI Agents"deepfakeworkflowslow-code/no-codecollaboration

Capabilities

Key features

Llama model download CLI
List and describe models
Inference with quantization
Hugging Face integration
Prompt format display
Model integrity verification

Target Audience

developerdata scientistresearcherstartup founder

Integrations

hugging-face

Pricing & Plans

Open Source

Free

FAQs

How do I download Llama models using these utilities?

First, install the `llama-models` CLI via pip. Then, run `llama-model list` to find the model ID you want, and use `llama-model download --source meta --model-id CHOSEN_MODEL_ID`. You'll need to accept the license on the Meta Llama website to receive a signed URL for download.

Can I run Llama models with reduced memory footprint?

Yes, you can run inference with FP8 or Int4 quantization modes to reduce memory usage. This is achieved by specifying the `--quantization-mode` flag when running the models, allowing for inference on fewer or smaller GPUs at a minimal accuracy cost.

Are older versions of Llama models available for download?

By default, `llama-model list` shows the latest available models. To access older versions, you can use the command `llama-model list --show-all`. This will display all available Llama models, including previous iterations.

Trending

Subcategories trending in Coding & Development

Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

Trending

Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra AI Agents & Automation › General-Purpose Agents

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce