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Falcon E 3B Base

Developed by tiiuae
Falcon-E is a 1.58-bit quantized language model developed by TII, featuring a pure Transformer architecture designed for efficient inference
Downloads 51
Release Time : 4/16/2025

Model Overview

A causal decoder architecture language model based on 1.58-bit quantization, supporting English text generation tasks

Model Features

Efficient quantization
Utilizes 1.58-bit quantization technology to significantly reduce VRAM usage
Lightweight deployment
The 1.8B parameter model requires only 635MB VRAM, suitable for edge device deployment
Multi-version support
Offers three variants: BitNet quantized model, pre-quantized checkpoints, and bfloat16

Model Capabilities

English text generation
Efficient inference
Supports fine-tuning

Use Cases

Edge computing
Mobile assistant
Deploy intelligent dialogue systems on resource-constrained devices
Achieves smooth interaction with 635MB VRAM usage
Research applications
Efficient model research
Serves as a benchmark model for low-bit quantization technology
Outperforms same-scale models in multiple benchmark tests
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