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moshi-burak-fine-tune
burak-ozenc/moshi-burak-fine-tune
moshi-burak-fine-tune is a machine learning model from burak-ozenc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for moshi. The card lists the license as apache-2.0.
This is a LoRA adapter fine-tuned on Moshi to answer questions about Burak's background and experience.
Access
Public
Updated Feb 10, 2026
Repo size
97.1 MB
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.safetensors97.1 MB · 100%
At a glance
- Library
- moshi
- License
- apache-2.0
- Access
- Public
- Created
- Feb 10, 2026
- Updated
- Feb 10, 2026
- SHA
- 9e641bbe
Base models
Model card
From the Hugging Face model README
Moshi Fine-tuned LoRA - Burak's Voice AI
This is a LoRA adapter fine-tuned on Moshi to answer questions about Burak's background and experience.
Model Details
- Base Model: kyutai/moshiko-pytorch-bf16
- Training Method: LoRA (Low-Rank Adaptation)
- LoRA Rank: 16
- Training Steps: 500
- Dataset: 223 Q&A conversations (~47 minutes)
Usage
# Install Moshi
pip install git+https://github.com/kyutai-labs/moshi.git#subdirectory=moshi
# Run with LoRA
python -m moshi.server \
--lora-weight=lora.safetensors \
--config-path=config.json
Then open http://localhost:8998 in your browser.
Training Details
- Framework: moshi-finetune
- GPUs: 2x Kaggle T4
- Training Time: ~15 hours
- Batch Size: 1 per GPU (effective: 2)
License
Apache 2.0 (same as base Moshi model)
- Library
- moshi
- License
- apache-2.0
- Created
- Feb 10, 2026
- Updated
- Feb 10, 2026