Sentinel3252/Native-Breeze-TTS-2-Support-for-vLLM-Omni

This project adds Breeze TTS 2 support to vLLM-Omni and is intended for learning. Why it matters: useful plumbing for shipping LLM-powered features.

View on GitHubCompare

Stars

Last 24h

+8est.

Last 7 days

+54est.

Forks

Star history

GitHub stars over time. A steeper line means the repo is gaining attention faster.

Not enough history yet. OSS Radar records stars every hour, so this chart fills in over the next few hours.

* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.

Maintainer? Add the badge to your README

Shows your live OSS Radar rank and links back here. Updates hourly.

[![Trending on OSS Radar](https://ossradar.net/badge/Sentinel3252/Native-Breeze-TTS-2-Support-for-vLLM-Omni)](https://ossradar.net/repo/Sentinel3252/Native-Breeze-TTS-2-Support-for-vLLM-Omni)

<a href="https://ossradar.net/repo/Sentinel3252/Native-Breeze-TTS-2-Support-for-vLLM-Omni"><img src="https://ossradar.net/badge/Sentinel3252/Native-Breeze-TTS-2-Support-for-vLLM-Omni" alt="Trending on OSS Radar"></a>

About Native-Breeze-TTS-2-Support-for-vLLM-Omni

Sentinel3252/Native-Breeze-TTS-2-Support-for-vLLM-Omni is a Python project in the LLM tooling category, created 11 days ago. It has 84 GitHub stars and 0 forks, and gained +54 stars over the last 7 days (early estimate), ranking #144 of 158 LLM tooling repos tracked by OSS Radar this week.

Language: Python
Category: LLM tooling
Created: Oct 3, 2026
Last code push: 8 days ago (Oct 6, 2026)
Latest release: No releases yet

Similar rising repos

onehumanbeing/esp32-iphone-agent+2kest.
Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. Why it matters: useful plumbing for shipping LLM-powered features.
rohitg00/ai-engineering-from-scratch+1.2kest.
Learn AI Engineering! Learn it. Build it. Ship it for others. Why it matters: useful plumbing for shipping LLM-powered features.
NousResearch/hermes-agent+819est.
The agent that grows with you. Why it matters: useful plumbing for shipping LLM-powered features.
harry0703/MoneyPrinterTurbo+756est.
Generate HD short videos from a topic or keyword with an automated AI workflow. Why it matters: useful plumbing for shipping LLM-powered features.
YeonwooSung/llm-architecture-from-scratch+735est.
Implementing LLM architectures from scratch in PyTorch. Why it matters: useful plumbing for shipping LLM-powered features.
anthropics/claude-plugins-official+658est.
Official, Anthropic-managed directory of high quality Claude Code Plugins. Why it matters: useful plumbing for shipping LLM-powered features.