Skills tagged "fine-tuning"

llm-fine-tuning - LLM Fine-Tuning Infrastructure
devops llm fine-tuning qlora
★ 17 · Updated 2026-09-21
Set up infrastructure for fine-tuning LLMs using QLoRA, LoRA, Hugging Face TRL, Axolotl, DeepSpeed, or FSDP.
⚙ Fine-tune LLMs using QLoRA ⚙ Configure Axolotl for fine-tuning ⚙ Launch distributed DeepSpeed ZeRO-3 training
llm-architect - LLM System Architecture and Optimization
llm architecture rag fine-tuning
★ 602 · Updated 2026-09-17
Designs scalable large language model applications with a focus on performance, cost efficiency, and safety.
⚙ Design end-to-end LLM systems ⚙ Select models and serving infrastructure ⚙ Implement RAG pipelines
dat-skill - Default cloud training skill for Dat.
cloud-training gpu-training fine-tuning job-orchestration
★ 149 · Updated 2026-09-13
Manages cloud training jobs, submits packages, tracks status, and downloads artifacts in Dat.
⚙ Pack training package ⚙ Submit training job ⚙ Track job status
llm-config - LLM Configuration
swarmllm inference microlora sona
★ 2 · Updated 2026-09-10
Configure SwarmLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation.
⚙ Check model and adapter status ⚙ Generate LLM inference config ⚙ Create MicroLoRA task adapters
local-finetune - Local LoRA Fine-Tuning Pipeline
fine-tuning local model machine learning data pipeline
★ 64 · Updated 2026-06-30
Pipeline for embedding skills into local models via LoRA fine-tuning on Apple Silicon
⚙ ingest Claude history ⚙ ingest skill files ⚙ generate training pairs
unsloth-finetuning - Fine-tune LLMs with Unsloth
LLM fine-tuning 4-bit quantization LoRA
★ 602 · Updated 2026-03-26
Fine-tune LLMs with Unsloth using 4-bit quantization and LoRA
⚙ load 4-bit quantized models ⚙ configure LoRA parameters ⚙ train on datasets
adapting-transfer-learning-models - Automated Transfer Learning Model Adaptation
machine learning transfer learning model adaptation fine-tuning
★ 2,781 · Updated 2026-03-09
Automates the adaptation of pre-trained machine learning models using transfer learning techniques
⚙ analyze user requirements ⚙ generate adaptation code ⚙ implement validation handling
model - AI Model Development and Fine-tuning
AI/ML model training fine-tuning machine learning
★ 602 · Updated 2026-02-14
Develops and fine-tunes AI models for specific tasks and domains.
⚙ design datasets ⚙ clean data ⚙ perform supervised fine-tuning