{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"}],"enrichment":{"capability":"Provides a CLI and Python interface to download, manage, and run Meta's Llama language models, handling authentication, model listing, verification, and local checkpoint management.","skillfed_tags":["llm-toolkit","model-management","cli-tool"],"use_cases":["Download and cache Llama model weights locally after obtaining a Meta-signed URL, automating the authentication and expiration-handling workflow.","List available Llama model versions and their metadata (context length, tokenizer type, acceptable-use policies) to choose the right variant for your task.","Verify integrity of downloaded model checkpoints before loading them into inference pipelines.","Manage multiple Llama model versions on disk, removing old checkpoints to free space.","Retrieve prompt formatting templates for a specific model version to ensure correct chat or completion input structure."],"what_it_does":"llama-models is a command-line and Python toolkit for managing Meta's Llama language models. It handles the full lifecycle: listing available models (Llama 2, 3, 3.1, 3.2, 3.3, and 4 variants), downloading weights via authenticated URLs, verifying download integrity, and removing local checkpoints. The package wraps model access from both Meta's direct distribution and Hugging Face, abstracting away authentication and URL expiration logic.\n\nThe package is primarily a download and management layer, not an inference engine itself\u2014it prepares models for use with external frameworks like transformers or the Llama Stack. It depends on nine runtime libraries (PyYAML, Jinja2, tiktoken, Pydantic, Pillow, rich, httpx, termcolor, huggingface-hub) to handle configuration, tokenization, HTTP requests, and CLI formatting. Inference requires separate setup (PyTorch, GPUs for larger models) and is documented via example scripts in the repository.","worth_installing":"Yes, if you are building with Llama models and need a reliable CLI to download and manage checkpoints. The low install friction and absence of known vulnerabilities make it safe to add. However, the aging maintenance status (no release in ~9 months, last commit in Feb 2026) suggests the project may be in maintenance mode; verify that it still works with your target Python and dependency versions before relying on it for production automation. License treatment is unclear\u2014confirm that the package's own license (or lack thereof) and the model licenses align with your use case."},"id":"llama-models","links":{"html":"https://skillfed.io/packages/llama-models","md":"https://skillfed.io/packages/llama-models.md","pypi":"https://pypi.org/project/llama-models/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-11-04","license_spdx":null,"license_treatment":"unclear","name":"llama-models","python_support":"supports_current","summary":"Llama models"},"popularity":{"monthly_downloads":124989,"position":11842,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.0"}