Using Low-rank adaptation to quickly fine-tune diffusion models.
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Fine-tuned on AMD MI300X for the AMD Developer Hackathon 2026 (Fine-Tuning Track).
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
If you want to find out more about how these models were trained and even fine-tune them yourself, check-out the Parler-TTS repository on GitHub.
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