Llama 3.1 8B HR Writing
Published by @hr_forge · Community adapter
HR document specialist: job descriptions, performance review templates, PIP letters, onboarding checklists, and inclusive language audit. Trained on SHRM-aligned content.
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
base = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
model = PeftModel.from_pretrained(base, "modelforgelab/llama31-8b-hr-writer-lora")
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Compatibility
- transformers>=4.43
- vLLM
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