google/translategemma-27b-it
Image-Text-to-Text • 29B • Updated • 38.8k • 378
A.Genchev
AGenchev
·
AI & ML interests
None yet
Recent Activity
liked a model 14 days ago
google/translategemma-27b-it liked a model 16 days ago
Qwen/Qwen3-VL-8B-Instruct reacted to DheemanthReddy's post with ❤️ 8 months ago
We just released Maya-1-Voice, an open source voice AI model with voice design and emotions.
Describe voices in natural language. Add 20+ emotions like <laugh>, <cry>, <whisper> inline. 3B parameters, production-ready, runs on single GPU with vLLM.
Apache 2.0. Built on Llama backbone, predicts SNAC codec tokens for real-time streaming.
Model: https://huggingface.co/maya-research/maya-1-voiceOrganizations
None yet
liked a
model 14 days ago
liked a
model 16 days ago
reacted to DheemanthReddy's post with ❤️ 8 months ago
Post
1254
We just released Maya-1-Voice, an open source voice AI model with voice design and emotions.
Describe voices in natural language. Add 20+ emotions like <laugh>, <cry>, <whisper> inline. 3B parameters, production-ready, runs on single GPU with vLLM.
Apache 2.0. Built on Llama backbone, predicts SNAC codec tokens for real-time streaming.
Model: https://huggingface.co/maya-research/maya-1-voice
Describe voices in natural language. Add 20+ emotions like <laugh>, <cry>, <whisper> inline. 3B parameters, production-ready, runs on single GPU with vLLM.
Apache 2.0. Built on Llama backbone, predicts SNAC codec tokens for real-time streaming.
Model: https://huggingface.co/maya-research/maya-1-voice
Good job !
2
#2 opened about 1 year ago
by AGenchev
upvoted a collection over 1 year ago
reacted to burtenshaw's post with 👍 over 1 year ago
Post
2227
Here’s a notebook to make Gemma reason with GRPO & TRL. I made this whilst prepping the next unit of the reasoning course:
In this notebooks I combine together google’s model with some community tooling
- First, I load the model from the Hugging Face hub with transformers’s latest release for Gemma 3
- I use PEFT and bitsandbytes to get it running on Colab
- Then, I took Will Browns processing and reward functions to make reasoning chains from GSM8k
- Finally, I used TRL’s GRPOTrainer to train the model
Next step is to bring Unsloth AI in, then ship it in the reasoning course. Links to notebook below.
https://colab.research.google.com/drive/1Vkl69ytCS3bvOtV9_stRETMthlQXR4wX?usp=sharing
In this notebooks I combine together google’s model with some community tooling
- First, I load the model from the Hugging Face hub with transformers’s latest release for Gemma 3
- I use PEFT and bitsandbytes to get it running on Colab
- Then, I took Will Browns processing and reward functions to make reasoning chains from GSM8k
- Finally, I used TRL’s GRPOTrainer to train the model
Next step is to bring Unsloth AI in, then ship it in the reasoning course. Links to notebook below.
https://colab.research.google.com/drive/1Vkl69ytCS3bvOtV9_stRETMthlQXR4wX?usp=sharing
- 4 replies
liked a
Space over 1 year ago
is it uncensored?
5
#33 opened over 1 year ago
by 
Morrigan-Ship
There is conversion problem/requirement which is not stated: it requires GPU newer than ampere architecture.
2
#1 opened over 1 year ago
by AGenchev
liked 2
models over 1 year ago
reacted to vincentg64's post with ❤️ almost 2 years ago
Post
1780
Free LLM/RAG course at https://mltblog.com/48GebAG - learn how to build custom architectures from scratch, and earn an LLM certification, all free.
The GenAItechLab Fellowship program allows participants to work on state-of-the-art, enterprise-grade projects, entirely for free, at their own pace, at home or in their workplace. The goal is to help you test, enhance, and further implement applications that outperform solutions offered by AI startups or organizations such as Google or OpenAI.
You will learn how to quickly build faster and lighter systems that deliver better results based on sound evaluation metrics, with a focus on case studies and best practices. Not the least, you will learn modern methods here to stay, designed by world-class expert and investor, Dr. Vincent Granville, founder of GenAItechLab.com.
The GenAItechLab Fellowship program allows participants to work on state-of-the-art, enterprise-grade projects, entirely for free, at their own pace, at home or in their workplace. The goal is to help you test, enhance, and further implement applications that outperform solutions offered by AI startups or organizations such as Google or OpenAI.
You will learn how to quickly build faster and lighter systems that deliver better results based on sound evaluation metrics, with a focus on case studies and best practices. Not the least, you will learn modern methods here to stay, designed by world-class expert and investor, Dr. Vincent Granville, founder of GenAItechLab.com.