What models can I train with this skill?

You can implement and train over 20 popular architectures, including Llama 3, Gemma, Mistral, Phi-2, and Qwen.

Can I use this for production deployment?

Absolutely. It includes steps for model quantization, GGUF conversion, and setting up API endpoints for inference.

Does this skill support LoRA fine-tuning?

Yes, it provides optimized workflows for memory-efficient fine-tuning using LoRA and QLoRA on single or multi-GPU setups.

What are the hardware requirements?

Requirements vary by model size; for example, LoRA fine-tuning a 7B model requires roughly 16GB of VRAM, while full fine-tuning requires 40GB+.

LitGPT LLM Training & Implementation

Name: LitGPT LLM Training & Implementation
Author: zechenzhangAGI

byzechenzhangAGI

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384

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데이터 과학 및 ML

Simplifies Large Language Model implementation, training, and fine-tuning using clean, production-ready LitGPT architectures.

This skill empowers developers and AI researchers to implement and train over 20 pretrained LLM architectures, including Llama, Gemma, and Mistral, using the streamlined LitGPT framework. It provides expert guidance on production-grade fine-tuning workflows like LoRA and QLoRA, pretraining from scratch, and model deployment strategies. By emphasizing readable, single-file implementations without unnecessary abstractions, it helps users understand underlying model architectures while maintaining the performance needed for research and production environments.

주요 기능

01Automated quantization and GGUF conversion for efficient model deployment.

02Streamlined workflows for LoRA and QLoRA parameter-efficient fine-tuning.

03Clean implementations of 20+ pretrained LLM architectures including Llama 3, Gemma, and Mistral.

04Performance optimization tips including Flash Attention and FSDP configuration.

05Comprehensive guides for pretraining models from scratch on custom datasets.

06384 GitHub stars

사용 사례

01Learning and prototyping new LLM architectures with readable, single-file code.

02Converting and quantizing trained models for deployment in resource-constrained environments.

03Fine-tuning a base model like Llama 3 on a custom instruction dataset using LoRA.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zechenzhangagi/ai-research-skills litgpt

For use in Claude.ai and ChatGPT

Download Skill