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Falcon H1 3B Instruct

Developed by tiiuae
Falcon-H1 is a causal decoder-only language model developed by TII with a hybrid Transformers+Mamba architecture, supporting English and multilingual tasks.
Downloads 380
Release Time : 5/1/2025

Model Overview

The Falcon-H1 series models adopt an innovative hybrid architecture, combining the strengths of Transformers and Mamba to deliver exceptional performance while maintaining efficient inference.

Model Features

Hybrid Architecture Innovation
Combines the advantages of Transformers and Mamba architectures to achieve efficient inference and outstanding performance
Multilingual Support
Supports English and multilingual task processing
Efficient Inference
Optimized architecture provides fast inference speeds

Model Capabilities

Text generation
Logical reasoning
Mathematical computation
Code generation
Instruction following

Use Cases

Education
Math Problem Solving
Solves various math problems, including benchmarks like GSM8k
Achieved 84.76% accuracy on the GSM8k benchmark
Programming
Code Generation
Generates code based on natural language descriptions
Achieved 76.83% accuracy on the HumanEval benchmark
General AI Assistant
Instruction Following
Understands and executes complex instructions
Achieved 85.05% accuracy on the IFEval benchmark
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