Kimi K2 handles complex language tasks, reasoning, and problem-solving through an AI model developed by Moonshot AI.
Meta LLaMA 3.1 Models
This repository contains utilities intended for use with Llama models.
About Meta LLaMA 3.1 Models
This repository provides utilities and a command-line tool for working with Llama models. It can list available and older model versions, show details and prompt format by model ID, and download, verify, and remove model weights and tokenizers. It includes a table of Llama 2 through Llama 4 models with launch dates, sizes, context lengths, and tokenizers; Llama 3.1 is listed with 8B, 70B, and 405B sizes and 128K context.
Downloading requires reading and accepting the license on the Meta Llama website and using a signed URL sent by email. Links expire after 24 hours and have download limits. Running models requires a Python environment with dependencies installed, and Llama 4 models need at least 4 GPUs for inference at full bf16 precision.
Key features
- List available Llama models including older versions
- Show detailed information for a specific model ID
- Download model weights and tokenizer via signed URL
- Verify integrity of downloaded models
- Show prompt format for a specific model ID
- Remove a downloaded model by ID
Best for: Developers, researchers, and businesses that need to download and run Llama models.
Good for
- CLI covers listing, describing, downloading, verifying, and removing models
- Includes example scripts for running Llama 3 and Llama 4 models
- Lists model sizes, context lengths, and tokenizers for comparison
Watch out for
- Requires license acceptance and approved request before download
- Download links expire after 24 hours and have download limits
- Llama 4 models require at least 4 GPUs for full-precision inference
Meta LLaMA 3.1 Models at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Good for
- Developers, Researchers
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Meta LLaMA 3.1 Models FAQ
How do I download model weights and tokenizer?
Visit the Meta Llama website, read and accept the license, and wait for approval to receive a signed URL by email. Install the CLI with pip install llama-models, run llama-model list to find the model ID, then run llama-model download and provide the URL when prompted.
What if the download link shows an error such as 403: Forbidden?
Links expire after 24 hours and after a certain amount of downloads. You can re-request a link.
What is needed to run the models?
Use a suitable Python environment such as uv, conda, or virtualenv and install dependencies with pip install .[torch]. Example scripts are in the models/{llama3, llama4}/scripts/ subdirectory.
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