Tag: #trl

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• A Map of the LLM Training Stack in 2026 — What Each Layer Does For You, and What It Hides

  Sorts LLM training frameworks into three layers and maps out their lineage. The bottom layer is the execution engines — PyTorch distributed, DeepSpeed, Megatron-Core. The middle layer is training loops like torchtitan an

  2026-08-02 · 13 min read #mlops#llm-training#pytorch#trl#framework

• LLM Fine-tuning Frameworks 2026 — A Deep Dive into Axolotl, Unsloth, LLaMA-Factory, TRL, PEFT, and TorchTune

  A complete map of the 2026 LLM fine-tuning ecosystem. Open-source frameworks like Axolotl, Unsloth, LLaMA-Factory, TRL, PEFT, and TorchTune. LLM Foundry (MosaicML, acquired by Databricks). Cloud fine-tuning APIs from Mod

  2026-05-16 · 28 min read #llm#finetuning#axolotl#unsloth#llama-factory

• LLM Fine-Tuning 2026 Deep Dive — LoRA · QLoRA · DoRA · GaLore · Unsloth · Axolotl · TRL · PEFT · MLX-LM Complete Guide

  In 2026, the LLM fine-tuning ecosystem has exploded from the simple adapters of LoRA into a sprawling tree — QLoRA at 4-bit, DoRA with weight decomposition, GaLore with gradient projection. Hugging Face PEFT 0.14 and TRL

  2026-05-16 · 24 min read #llm-fine-tuning#lora#qlora#dora#galore