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Parameter descriptions:

Base Model Data
Are datasources for training the base model comprehensively documented and 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 end user interacts with comprehensively documented and 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 end user interacts with made freely available?
Training Code
Is the source code of dataset processing, model training and tuning comprehensively 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 available in standardized format that provides comprehensive insight on model architecture, training, fine-tuning, and evaluation?
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?

Falcon

by Technology Innovation Institute

Open foundation model.
Text
Full
https://huggingface.co/tiiuae/Falcon-H1-34B-Instruct
Falcon-H1-34B-Base
Falcon-H1-34B-Instruct
Falcon LLM License
The Technology Innovation Institute, a research center. Part of the Abu Dhabi Government’s Advanced Technology Research Council (ATRC).
https://falconllm.tii.ae
May 2025
Availability
Base Model Data
From the documentation 'The key ingredient for the high quality of the Falcon models is their training data, predominantly based (>80%) on RefinedWeb — a novel massive web dataset based on CommonCrawl' (https://huggingface.co/blog/falcon). However, only a small sample is made available.
https://huggingface.co/datasets/tiiuae/falcon-refinedweb
End User Model Data
Instruct-tuning data described in preprint.
https://arxiv.org/pdf/2507.22448
Base Model Weights
Model weights available on HuggingFace.
https://huggingface.co/tiiuae/Falcon-H1-34B-Instruct
End User Model Weights
Model weights available on HuggingFace.
https://huggingface.co/tiiuae/Falcon-H1-34B-Instruct
Training Code
No training code found.
Documentation
Code Documentation
No source code found, therefore no documentation found.
Hardware Architecture
Hardware setup described in paper.
https://arxiv.org/pdf/2507.22448
Preprint
Preprint published on arXiv.
https://arxiv.org/pdf/2507.22448
Paper
No peer-reviewed paper found.
Modelcard
Model card contains comprehensive documentation.
https://falcon-lm.github.io/blog/falcon-h1/
Datasheet
No datasheet found.
Access
Package
Previous version of model available on Ollama.
https://ollama.com/library/falcon3
API and Meta Prompts
No API found.
Licenses
Falcon LLM License, not an open license.
https://ollama.com/library/falcon3
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