ShadowPEFT
Centralized and Detachable Parameter-Efficient Fine-Tuning. Parameter-Efficient Fine-Tuning For Edge-Cloud Collabrative Computing. Unlike LoRA and its variants, which inject trainable parameters directly into the weights of the Transformer, requiring tight coupling with the backbone.
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LoRA fine-tuning gradients on Apple Neural Engine via private APIs. Conv-as-matmul, spatial constraints, MLX integration.
Open-source fine-tuning in a Colab notebook
colab.research.google.comPosted before, but wanted to share if you want an open source alternative to OpenAI fine-tuning, give Unsloth a try!
Finetune a Gemma 2B model for codegen
github.comSupervised fine-tuning of Google's open-source Gemma-2B model to optimize writing Python code
Daf·thunk
dafthunk.comopen-source Editor for Prototyping Workflows on Cloudflare
Our library for RL environments + evals