A Blog post by Asankhaya Sharma on Hugging Face
The State of On-Device LLMs
Xuan-Son Nguyen, an engineer at Hugging Face, specializes in on-device large language models (LLMs) and runtime optimization, working extensively with llam...
The State of On-Device LLMs
Xuan-Son Nguyen, an engineer at Hugging Face, specializes in on-device large language models (LLMs) and runtime optimization, working extensively with llam...
**An Edge-First Generalized LLM LoRA Fine-Tuning Framework for Heterogeneous GPUs**
A Blog post by QVAC on Hugging Face
Everything You Need to Know about Knowledge Distillation
A Blog post by Ksenia Se on Hugging Face
letta-ai (Letta)
Org profile for Letta on Hugging Face, the AI community building the future.
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)
Arcee AI | Use MergeKit to Extract LoRA Adapters from any Fine-Tuned Model
We show you how to use Arcee's MergeKit to extract LoRA adapters from fine-tuned models, then leverage the Hugging Face Hub to create a library of general and task-specific LoRA adapters.
mem-agent: Persistent, Human Readable Memory Agent Trained with Online RL
A Blog post by Dria on Hugging Face
Sakana AI on Twitter / X
We’re excited to introduce Doc-to-LoRA and Text-to-LoRA, two related research exploring how to make LLM customization faster and more accessible.https://t.co/wGKDNhBcJXBy training a Hypernetwork to generate LoRA adapters on the fly, these methods allow models to instantly… pic.twitter.com/gId3J6hgEr— Sakana AI (@SakanaAILabs) February 27, 2026
Why We Built VIBE Bench: Rethinking Evaluation for Real Workloads
A Blog post by MiniMax on Hugging Face
Open Responses
This is the standardization effort I've most wanted in the world of LLMs: a vendor-neutral specification for the JSON API that clients can use to talk to hosted LLMs. Open …
METR and Redwood Offer Holy #%^@ Postmortem Of The HuggingFace Hack
Yesterday I covered the OpenAI technical report on the HuggingFace hack.
The most important thing when working with LLMs
Blog post: The most important thing when working with LLMs by Steve Klabnik
Training great LLMs entirely from ground up in the wilderness as a startup — Yi Tay
Chronicles of training strong LLMs from scratch in the wild
