Hugging Face Alignment Handbook
Curated recipes and code for aligning language models (preference optimization, DPO-style flows) on open stacks.
Why it is included
Surfaced on TAAFT’s #llm tag as Hugging Face’s Apache-2.0 alignment cookbook companion to TRL.
Best for
Practitioners reproducing open alignment baselines with documented hyperparameters.
Strengths
- Opinionated recipes
- Pairs with TRL/Transformers
- Community reference
Limitations
- Not a framework itself—documentation + scripts
Good alternatives
TRL alone · OpenRLHF · Axolotl DPO modes
Related tools
AI & Machine Learning
TRL
Transformer Reinforcement Learning: train LLMs with RLHF, DPO, ORPO, and related preference optimization recipes.
AI & Machine Learning
Hugging Face Transformers
State-of-the-art pretrained models for PyTorch, TensorFlow, and JAX.
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MNN
Alibaba’s lightweight inference engine for mobile and edge—used for on-device LLMs and classic CV models with aggressive optimization.
AI & Machine Learning
rtp-llm
Alibaba’s high-performance LLM inference engine (CUDA-focused) for production serving of diverse decoder architectures.
AI & Machine Learning
KVPress
NVIDIA research-oriented toolkit for LLM KV-cache compression to stretch context within fixed VRAM budgets.
AI & Machine Learning
Hugging Chat UI
Open-source Svelte/TypeScript app that powers HuggingChat—multi-model chat, tools, and self-hostable UI patterns.
