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Orpheus 3b 0.1 Ft.w8a8

Developed by nytopop
Orpheus-3B-0.1-FT is a text-to-speech model based on a causal language model, supporting efficient quantization compression.
Downloads 173
Release Time : 4/18/2025

Model Overview

This model focuses on text-to-speech tasks, optimizing inference efficiency through quantization techniques, suitable for scenarios requiring efficient speech synthesis.

Model Features

Efficient Quantization Compression
Supports SmoothQuant and GPTQ quantization techniques, significantly reducing model size and improving inference speed
Large Context Window
Supports sequence lengths up to 4096 tokens, suitable for processing long text inputs
Hardware Adaptability
Supports automatic device mapping, allowing flexible deployment on different hardware

Model Capabilities

Text-to-speech synthesis
Long text processing
Quantized model inference

Use Cases

Speech Synthesis
Audiobook Generation
Convert long texts into natural speech
Efficiently generates high-quality speech content
Voice Assistant
Provide speech output capabilities for dialogue systems
Low-latency speech response
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