Check out the model weights and inference code base here:
OPEN SOURCE
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OuteTTS v0.2: Compact Multilingual TTS with Voice Cloning
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Smol TTS keeps getting better! Introducing OuteTTS v0.2 – 500M parameters, multilingual with voice cloning! 🔥
— Vaibhav (VB) Srivastav (@reach_vb) 25 novembre 2024
> Multilingual – English, Chinese, Korean & Japanese
> Cross platform inference w/ llama.cpp
> Zero-shot voice cloning
> Trained on 5 Billion audio tokens
> Qwen 2.5… pic.twitter.com/N4c4UkfrhzSmol TTS keeps getting better! Introducing OuteTTS v0.2 – 500M parameters, multilingual with voice cloning! > Multilingual – English, Chinese, Korean & Japanese
> Cross platform inference w/ llama.cpp
> Zero-shot voice cloning
> Trained on 5 Billion audio tokens
> Qwen 2.5 -
Explore MCP Servers on GitHub Repository
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If you want to improve on this server, explore more servers, or make your own integrations, go check out our GitHub repo: https://
github.com/modelcontextpr
otocol/servers
… We have tons of servers already pre-built for you to try out! -
Using existing open source code for development
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It’s open source, I’m telling him to use the existing code.
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Model Context Protocol: Dev-Focused Standard
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depends on what you can build. It is still more like a dev-focused feature > The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools.
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SambaNova Open Source AI Night Event in Silicon Valley
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SambaNova @huggingface Don't miss an #OpenSource #AI night to remember! Hosted by: @MurrayNewlands @_akhaliq Connect with AI experts from all over Silicon Valley and VCs who are at the cutting edge. Learn more about the event https://
lu.ma/ubkc4glk -
Using Claude to Learn MCP from Documentation
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Feed all the docs into Claude as a plain text file and have Claude teach you about MCP: https://
modelcontextprotocol.io/llms-full.txt -
New Open-Source Python Package Simplifies LLM Integration
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Announcing new open-source Python package: aisuite! This makes it easy for developers to use large language models from multiple providers. When building applications I found it a hassle to integrate with multiple providers. Aisuite lets you pick a "provider:model" just by
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MCP: Open Standard for LLM Integrations Like LSP for IDEs
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Like LSP did for IDEs, we're building MCP as an open standard for LLM integrations. Build your own servers, contribute to the protocol, and help shape the future of AI integrations:
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Qwen 2 VL + FLUX: Advanced Open Source Image Generation
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Qwen 2 VL + FLUX > supports variation, img2img, inpainting, and controlnet-guided generation
> depth estimation and line detection for precise structural guidance
> aspect ratios up to 1536×1024 MIT licensed!