Falcon H1 0.5B Base

🚀 Falcon-H1

Falcon-H1 is a family of hybrid - head language models developed by TII, offering high - performance solutions for various NLP tasks.

🚀 Quick Start

To start using the Falcon-H1 model, you can choose from Hugging Face transformers, vLLM, or a custom fork of the llama.cpp library.

✨ Features

• Model Type: Causal decoder - only
• Architecture: Hybrid Transformers + Mamba architecture
• Language: English
• License: Falcon - LLM License

📦 Installation

Install transformers

pip install git+https://github.com/huggingface/transformers.git

Build vLLM from source

Refer to the official vLLM documentation for more details on building vLLM from source.

Install llama.cpp fork

You can install our fork of the llama.cpp library and use it directly: https://github.com/tiiuae/llama.cpp-Falcon-H1. Use the same installing guidelines as llama.cpp.

💻 Usage Examples

Basic Usage

Using transformers

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "tiiuae/Falcon-H1-1B-Base"

model = AutoModelForCausalLM.from_pretrained(
  model_id,
  torch_dtype=torch.bfloat16,
  device_map="auto"
)

# Perform text generation

Using vLLM

# pip install vllm
vllm serve tiiuae/Falcon-H1-1B-Instruct --tensor-parallel-size 2 --data-parallel-size 1

Advanced Usage

While we are working on integrating our architecture directly into the llama.cpp library, you can use our fork as described above.

📚 Documentation

Model Details

• Developed by: https://www.tii.ae
• Model type: Causal decoder - only
• Architecture: Hybrid Transformers + Mamba architecture
• Language(s) (NLP): English
• License: Falcon - LLM License

Training Details

For more details about the training protocol of this model, please refer to the Falcon - H1 technical blogpost.

Evaluation

Falcon - H1 series perform very well on a variety of tasks, including reasoning tasks.

You can check more in detail on our release blogpost, detailed benchmarks.

Useful Links

• View our release blogpost.
• Feel free to join our discord server if you have any questions or to interact with our researchers and developers.

📄 License

This model is licensed under the Falcon - LLM License.

📄 Citation

If the Falcon - H1 family of models were helpful to your work, feel free to give us a cite.

@misc{tiifalconh1,
    title = {Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance},
    url = {https://falcon-lm.github.io/blog/falcon-h1},
    author = {Falcon-LLM Team},
    month = {May},
    year = {2025}
}