ph-ausseil/llm-training-dataset-builder

Streamlines the creation of dataset to train a Large Language Model with triplets : instruction-input-output . The default configuration fits github.com/tloen/alpaca-lora requirements.

14
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

13

Forks

—

Language

Python

License

—

Category

llm-fine-tuning

Last pushed

Apr 17, 2023

Commits (30d)

0

GitHub
Llm Fine Tuning · 77 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/ph-ausseil/llm-training-dataset-builder"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

OptimalScale/LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

59

adithya-s-k/AI-Engineering.academy

Mastering Applied AI, One Concept at a Time

50

jax-ml/jax-llm-examples

Minimal yet performant LLM examples in pure JAX

46

JIA-Lab-research/LongLoRA

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

46

riyanshibohra/TuneKit

Upload your data → Get a fine-tuned SLM. Free.

45

Explore Transformer Models

All categories Trending Transformer directory Insights