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bengali-empathetic-llama-3.1-8b-lora4000 – AI Model by CaptainNimo | AlphaNeural AI
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bengali-empathetic-llama-3.1-8b-lora4000
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safetensors
bengali
empathetic
conversational
lora
fine-tuned
NousResearch/Meta-Llama-3.1-8B-Instruct
adapter
llama3.1
us
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Bengali Empathetic LLaMA 3.1-8B LoRA
Fine-tuned LoRA adapter for empathetic Bengali conversations.
Training Details
Base Model
: NousResearch/Meta-Llama-3.1-8B-Instruct
Method
: QLoRA (4-bit quantization)
Dataset
: Bengali Empathetic Conversations Corpus
Training Loss
: 0.5285
Training Time
: 581.7 minutes
Evaluation Metrics
BLEU
: 0.81
ROUGE-L
: 0.0000
Empathy Score
: 3.67
Usage
from peft import PeftModel from transformers import AutoModelForCausalLM, AutoTokenizer
base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "CaptainNimo/bengali-empathetic-llama-3.1-8b-lora4000") tokenizer = AutoTokenizer.from_pretrained("CaptainNimo/bengali-empathetic-llama-3.1-8b-lora4000")
Files
adapter_model.safetensors - LoRA weights
adapter_config.json - LoRA configuration
data/ - Training/validation/test splits
evaluation_results.json - Detailed metrics
generated_responses.json - Sample outputs
Generated: 2025-12-31T04:59:00.522876
