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remon-rakibul/hr-persona-bd-llama3.2-3b-gguf

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face

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Model Card

hr-persona-bd-llama3.2-3b-gguf

Fine-tuned model for Bangladesh Labour Law and HR practices.

Model Details

—Base Model: unsloth/Llama-3.2-3B-Instruct
—Fine-tuning Method: LoRA (Low-Rank Adaptation)
—Training Framework: Unsloth
—Model Type: GGUF

Intended Use

This model is designed for:

—Answering questions about Bangladesh Labour Act 2006
—Providing HR guidance for Bangladesh workplaces
—Explaining worker rights and employer obligations
—General HR policy assistance

Usage

With Transformers

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("remon-rakibul/hr-persona-bd-llama3.2-3b-gguf")
tokenizer = AutoTokenizer.from_pretrained("remon-rakibul/hr-persona-bd-llama3.2-3b-gguf")

messages = [
    {"role": "user", "content": "What is the maximum working hours per week in Bangladesh?"}
]

inputs = tokenizer.apply_chat_template(messages, return_tensors="pt")
outputs = model.generate(inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0]))

With Unsloth (Faster)

python

from unsloth import FastLanguageModel

model, tokenizer = FastLanguageModel.from_pretrained("remon-rakibul/hr-persona-bd-llama3.2-3b-gguf")
FastLanguageModel.for_inference(model)

With Ollama (GGUF version)

bash

ollama run hr-persona-bd

Training Details

—Dataset: Bangladesh Labour Act 2006 QA pairs
—Epochs: 1-3
—Learning Rate: 2e-4
—LoRA Rank: 16
—LoRA Alpha: 16

Limitations

—Knowledge is limited to Bangladesh Labour Act 2006 (amended up to 2018)
—Should not be used as sole legal advice - consult legal professionals
—May not cover all edge cases or recent amendments

Citation

@model{hr_persona_bd,
  title={HR Persona Bangladesh},
  year={2026},
  base_model={unsloth/Llama-3.2-3B-Instruct},
  url={https://huggingface.co/remon-rakibul/hr-persona-bd-llama3.2-3b-gguf}
}