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What is Orpheus TTS?

Canopy Labs has introduced Orpheus, a groundbreaking collection of advanced speech large language models (LLMs) designed to replicate human-like speech generation. Built on the Llama-3 architecture, these models have been developed using a vast dataset of over 100,000 hours of English speech, enabling them to produce output with natural intonation, emotional nuance, and a rhythmic quality that surpasses current high-end closed-source models. One of the standout features of Orpheus is its zero-shot voice cloning capability, which allows users to replicate voices without needing any prior fine-tuning, alongside user-friendly tags that assist in manipulating emotion and intonation. Engineered for minimal latency, these models achieve around 200ms streaming latency for real-time applications, with potential reductions to approximately 100ms when input streaming is employed. Canopy Labs offers both pre-trained and fine-tuned models featuring 3 billion parameters under the adaptable Apache 2.0 license, and there are plans to develop smaller models with 1 billion, 400 million, and 150 million parameters to accommodate devices with limited processing power. This initiative is anticipated to enhance accessibility and expand the range of applications across diverse platforms and scenarios, making advanced speech generation technology more widely available. As technology continues to evolve, the implications of such advancements could significantly influence fields such as entertainment, education, and customer service.

What is LongLLaMA?

This repository presents the research preview for LongLLaMA, an innovative large language model capable of handling extensive contexts, reaching up to 256,000 tokens or potentially even more. Built on the OpenLLaMA framework, LongLLaMA has been fine-tuned using the Focused Transformer (FoT) methodology. The foundational code for this model comes from Code Llama. We are excited to introduce a smaller 3B base version of the LongLLaMA model, which is not instruction-tuned, and it will be released under an open license (Apache 2.0). Accompanying this release is inference code that supports longer contexts, available on Hugging Face. The model's weights are designed to effortlessly integrate with existing systems tailored for shorter contexts, particularly those that accommodate up to 2048 tokens. In addition to these features, we provide evaluation results and comparisons to the original OpenLLaMA models, thus offering a thorough insight into LongLLaMA's effectiveness in managing long-context tasks. This advancement marks a significant step forward in the field of language models, enabling more sophisticated applications and research opportunities.

Media

Media

Integrations Supported

Baseten
GitHub
Google Colab
Hugging Face
Llama 3
VoiSpark

Integrations Supported

Baseten
GitHub
Google Colab
Hugging Face
Llama 3
VoiSpark

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Canopy Labs

Company Location

United States

Company Website

canopylabs.ai/model-releases

Company Facts

Organization Name

LongLLaMA

Company Website

github.com/CStanKonrad/long_llama

Categories and Features

Text to Speech

API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech

Categories and Features

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