SFTTrainer
PulseAugur coverage of SFTTrainer — every cluster mentioning SFTTrainer across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Fine-tune Qwen/Qwen2.5-0.5B-Instruct model for $0.05 on single GPU
A tutorial demonstrates how to perform a low-cost LoRA fine-tune of the Qwen/Qwen2.5-0.5B-Instruct model using the trl-lib/Capybara dataset. The process is designed to run as a self-terminating job on a single GPU, cost…
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AWS SageMaker enables serverless model customization for product tagging
Amazon SageMaker is offering a new serverless model customization feature that allows users to fine-tune open-weight models for specific tasks like product tagging. This approach uses supervised fine-tuning (SFT) and re…
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Guide to fine-tuning open-source LLMs for enterprise workloads
This guide details the process of fine-tuning open-source Large Language Models for enterprise use. It covers setting up PyTorch with CUDA, authenticating through Hugging Face CLI, and configuring 4-bit quantization usi…