cyankiwi/GLM-5.3-Flash-AWQ-INT4
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#1 opened 26 days ago
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mtcl
Quantization Recipe
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Higher-q quants
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#5 opened 16 days ago
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reacted to DheemanthReddy's post with ❤️ 11 months ago
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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 !
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#2 opened over 1 year ago
by AGenchev
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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