Browsing: Finetuning

Sentence Transformers is a Python library for using and training embedding models for a wide range of applications, such as…

Florence-2, released by Microsoft in June 2024, is a foundation vision-language model. This model is very attractive because of its…

As Large Language Models (LLMs) grow in size and complexity, finding ways to reduce their computational and energy costs has…

We are incredibly excited to share the most impactful feature since Argilla joined Hugging Face: you can prepare your AI…

[Submitted on 7 Nov 2026] View a PDF of the paper titled From Task Affinities to Optimal Allocations: Probabilistic Graphical…

arXiv:2611.10248v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) is a popular parameter-efficient fine-tuning (PEFT) method for fine-tuning of large language…

Sentence Transformers is a Python library for using and training embedding and reranker models for a wide range of applications,…

At TNG, we created a fine-tune of an Optical Character Recognition model based on olmOCR to help us automate our…

arXiv:2611.08866v1 Announce Type: new Abstract: Fine-tuned (FT) derivatives of large language models (LLMs) are now released in large numbers, yet…

In our previous post, Exploring Quantization Backends in Diffusers, we dived into how various quantization techniques can shrink diffusion models…