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Mambahermes 3B GGUF

Developed by dranger003
A 3B-parameter language model based on the Mamba architecture, focused on efficient text generation tasks
Downloads 60
Release Time : 3/9/2024

Model Overview

This is a 3B-parameter language model based on the Mamba architecture, quantized in GGUF format, suitable for text generation tasks. The model features constant memory usage, with inference speed unaffected by context length.

Model Features

Constant memory usage
The Mamba architecture features constant memory usage, with memory consumption not increasing as the number of processed tokens grows.
Stable inference speed
Unlike Transformer architectures, Mamba's inference speed does not degrade with increasing context length.
Quantization support
The model supports GGUF format quantization, enabling operation on resource-limited devices.

Model Capabilities

Text generation
Language understanding

Use Cases

Text generation
Dialogue systems
Can be used to build chatbots or conversational assistants
Content creation
Assists in generating articles, stories, or other textual content
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