README.md

metadata

license: apache-2.0
language:
  - en

Introduction

We introduce luxia-21.4b-alignment-v1.0, an instruction-tuned and alignment model based on luxia-21.4b. Please refer to the evaluation results table for details.

Instruction Fine-tuning Strategy

We utilize state-of-the-art instruction fine-tuning methods including supervised fine-tuning (SFT) and direct preference optimization (DPO)

Data Contamination Test Results

Results will be updated soon.

Evaluation Results

Results will be updated soon.

Usage Instructions

How to use

# pip install transformers==4.35.2
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("saltlux/luxia-21.4b-alignment-v0.1")
model = AutoModelForCausalLM.from_pretrained(
    "saltlux/luxia-21.4b-alignment-v0.1",
    device_map="auto",
    torch_dtype=torch.float16,
)

License

• saltlux/luxia-21.4b-alignment-v1.0: apache-2.0

Contact Us

Any questions and suggestions are welcomed at the discussion tab.