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Mistral-finetune
mistral-finetune is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models. It is based on LoRA, a training paradigm where most weights are frozen and only 1-2% additional weights in the form of low-rank matrix perturbations are trained.
For maximum efficiency it is recommended to use a A... See more
mistral-finetune is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models. It is based on LoRA, a training paradigm where most weights are frozen and only 1-2% additional weights in the form of low-rank matrix perturbations are trained.
For maximum efficiency it is recommended to use a A... See more
GitHub - mistralai/mistral-finetune
How to Train Flux Locally using AI Toolkit?
🎨 LORA Fine Tuning
🖼️ Generate vintage-style images
🛠️ Use AI Toolkit
💻 AI Image Generation
Sub: https://t.co/RTY3pSWdvT
@ostrisai... See more
Mervin Praisonx.comNice setup in this tutorial to fine-tune an LLM:
- infra-as-code from @modal_labs
- training observability and checkpoints from @weights_biases
- download base model from @huggingface
- axolotl for training code
- @Gradio interface beginners to try it out
___LINEBRE... See more
Scott Condronx.com