Falcon H1 1.5B Base

🚀 Falcon-H1

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

🚀 Quick Start

Currently, you can use this model by relying on Hugging Face transformers, vLLM, or a custom fork of the llama.cpp library. Make sure to install the latest version of transformers or vLLM, and you can install these packages from source if needed.

✨ Features

• Multilingual Support: Supports a wide range of languages including Arabic, Czech, German, English, Spanish, French, Hindi, Italian, Japanese, Korean, Dutch, Polish, Portuguese, Romanian, Russian, Swedish, Urdu, and Chinese.
• Hybrid Architecture: Utilizes a hybrid Transformers + Mamba architecture.
• Causal Decoder - Only: A causal decoder - only model type.

📦 Installation

Install transformers from source

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

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

💻 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

Using llama.cpp

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

📚 Documentation

Model Details

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, which contains 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 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}
}