StyleTTS2
llama.cpp
| StyleTTS2 | llama.cpp | |
|---|---|---|
| 7 | 780 | |
| 4,124 | 57,984 | |
| - | - | |
| 8.6 | 10.0 | |
| about 1 month ago | 5 days ago | |
| Python | C++ | |
| MIT License | MIT License |
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StyleTTS2
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Hello guys, any selfhosted alternative to eleven labs?
Take a look at StyleTTS2
- I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
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Robot Dad
Love it OP!
Check out https://github.com/yl4579/StyleTTS2
For your local voice cloning needs.
HN discussion here https://news.ycombinator.com/item?id=38335255
Funny I’ve been talking about cloning my dad for a while in this same fashion. Thanks for the inspiration.
- FLaNK Stack Weekly for 20 Nov 2023
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StyleTTS2 – open-source Eleven Labs quality Text To Speech
To save people some time, this is tested on Ubuntu 22.04 (google is being annoying about the download link, saying too many people have downloaded it in the past 24 hours, but if you wait a bit it should work again):
git clone https://github.com/yl4579/StyleTTS2.git -
Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning
You're in luck, the code dropped 6 hours ago :) https://github.com/yl4579/StyleTTS2
llama.cpp
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IBM Granite: A Family of Open Foundation Models for Code Intelligence
if you can compile stuff, then looking at llama.cpp (what ollama uses) is also interesting: https://github.com/ggerganov/llama.cpp
the server is here: https://github.com/ggerganov/llama.cpp/tree/master/examples/...
And you can search for any GGUF on huggingface
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Ask HN: Affordable hardware for running local large language models?
Yes, Metal seems to allow a maximum of 1/2 of the RAM for one process, and 3/4 of the RAM allocated to the GPU overall. There’s a kernel hack to fix it, but that comes with the usual system integrity caveats. https://github.com/ggerganov/llama.cpp/discussions/2182
- Xmake: A modern C/C++ build tool
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
What are some alternatives?
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
piper - A fast, local neural text to speech system
gpt4all - gpt4all: run open-source LLMs anywhere
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
FLaNK-EveryTransitSystem - Every transit system
ggml - Tensor library for machine learning
bark - 🔊 Text-Prompted Generative Audio Model
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM