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Parameter descriptions:

Base Model Data
Are datasources for training the base model comprehensively documented and freely made available? In case a distinction between base (foundation) and end (user) model is not applicable, this mirrors the end model data entries.
End User Model Data
Are datasources for training the model that the enduser interacts with comprehensively documented and freely made available?
Base Model Weights
Are the weights of the base models made freely available? In case a distinction between base (foundation) and end (user) model is not applicable, this mirrors the end model data entries.
End User Model Weights
Are the weights of the model that the enduser interacts with made freely available?
Training Code
Is the source code of datasource processing, model training and tuining comprehensively and freely made available?
Code Documentation
Is the source code of datasource processing, model training and tuning comprehensively documented?
Hardware Architecture
Is the hardware architecture used for datasource processing and model training comprehensively documented?
Preprint
Are archived preprint(s) are available that detail all major parts of the system including datasource processing, model training and tuning steps?
Paper
Are peer-reviewed scientific publications available that detail all major parts of the system including datasource processing, model training and tuning steps?
Modelcard
Is a model card in standardized format available that provides comprehensive insight on model architecture, training, fine-tuning, and evaluation are available?
Datasheet
Is a datasheet as defined in "Datasheets for Datasets" (Gebru et al. 2021) available?
Package
Is a packaged release of the model available on a software repository (e.g. a Python Package Index, Homebrew)?
API and Meta Prompts
Is an API available that provides unrestricted access to the model (other than security and CDN restrictions)? If applicable, this entry also collects information on the use and availability of meta prompts.
Licenses
Is the project fully covered by Open Source Initiative (OSI)-approved licenses, including all data sources and training pipeline code?

Llama 3.3

by Meta

Llama AI model family by Meta. This entry provides information about Llama version 3.3.
Text
Latest
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
Llama 3.3 70B
Llama 3.3 70B Instruct
Llama 3.3 Community License Agreement
Meta, a major technology company.
https://ai.meta.com/
December 2024
Availability
Training Code
Repository only offers code for inference pipeline
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
Base Model Data
Data nowhere disclosed or documented, and described in the model card as "a new mix of publicly available online data."
End User Model Data
Data nowhere disclosed or documented, the only information regarding fine-tuning data is an assurance that the data was collected with high quality standards.
Base Model Weights
No HuggingFace page exists for the base model.
End User Model Weights
Inspecting the training weights requires signing the Llama 3.3 Community License Agreement, not an OSI recognised open license
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
Documentation
Code Documentation
Code provide only model architecture and an inferencing pipeline examples; some files are documented.
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
Hardware Architecture
Architecture described in paper, energy consumtion and environmental impact disclosed in model card, but not in paper; training process not fully documented
https://ai.meta.com/research/publications/the-llama-3-herd-of-models/
Preprint
Preprint only exists for the base Llama 3 modoel
https://arxiv.org/abs/2407.21783
Paper
No peer-reviewed paper available.
Modelcard
There is a model card, but it does not disclose the training process
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
Datasheet
Datasheet not provided at all
Access
Package
Model available on Ollama.
https://ollama.com/library/llama3.3
API and Meta Prompts
API not available in EU.
https://www.meta.ai/?utm_source=ai_meta_site&utm_medium=web&utm_content=AI_nav&utm_campaign=April_moment
Licenses
Inspecting the training weights requires signing the Llama 3.3 Community License Agreement, not an OSI recognised open license
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
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