AMRALMughira/chat-model

Chat Model

This is a custom chat model fine-tuned for conversational AI. The model is based on LLaMA architecture and is specifically designed for Arabic and English conversations.

Model Details

• Architecture: LLaMA
• Task: Text Generation
• Language: Arabic/English
• License: MIT
• Model Size: Large
• Training Data: Custom conversational data
• Optimization: Quantized (int8)

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("AMRALMughira/chat-model")
tokenizer = AutoTokenizer.from_pretrained("AMRALMughira/chat-model")

# Example input
input_text = "مرحبا كيف حالك؟"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(
    **inputs,
    max_length=256,
    temperature=0.7,
    do_sample=True,
    top_p=0.95
)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)

Inference API

This model is compatible with Hugging Face's Inference API. You can use it with the following endpoint:

POST https://api-inference.huggingface.co/models/AMRALMughira/chat-model

Model Performance

• Optimized for conversational tasks
• Supports both Arabic and English
• Fast response times
• High-quality responses

Requirements

• PyTorch
• Transformers
• CUDA (optional for GPU acceleration)