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Falcon H1 7B Instruct

Developed by tiiuae
Falcon-H1 is an efficient hybrid architecture language model developed by TII, combining the strengths of Transformers and Mamba architectures, supporting English and multilingual tasks.
Downloads 4,246
Release Time : 5/1/2025

Model Overview

A large language model specialized in causal decoding, excelling in tasks such as reasoning, mathematics, and programming.

Model Features

Hybrid Architecture Advantages
Combines the global understanding capability of Transformers with the efficient sequence processing of the Mamba architecture.
Exceptional Performance Across Domains
Outperforms models of similar scale in general capabilities, mathematics, science, and programming tasks.
Efficient Inference
Supports multiple efficient inference solutions including transformers/vLLM/custom llama.cpp.

Model Capabilities

Text generation
Logical reasoning
Mathematical computation
Code generation
Scientific Q&A
Instruction following

Use Cases

Education & Research
Complex Mathematical Problem Solving
Solving competition-level problems like GSM8k
GSM8k accuracy 81.65%
Scientific Knowledge Q&A
Answering professional scientific questions
MMLU-stem accuracy 77.61%
Software Development
Code Generation
Automatically generating Python code from descriptions
HumanEval pass rate 86.59%
Code Completion
Intelligently completing code snippets based on context
MBPP+ accuracy 68.78%
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