README.md

readme_content = """---
language:
- en
license: llama3
library_name: transformers
tags:
- nlp
- text-generation
- llama-3
pipeline_tag: text-generation
---

# Llama 3 8B Instruct

This repository contains the weights for the Llama 3 8B Instruct model. It is optimized for chat and instruction-following tasks.

## Model Details
- **Architecture:** Llama 3
- **Size:** 8B Parameters
- **Type:** Instruction Tuned
- **Library:** Transformers

## How to use

You can use this model directly with the Hugging Face `transformers` library:

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_id = "maherghanem86/llama3"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello, how are you?"},
]

input_ids = tokenizer.apply_chat_template(
    messages,
    add_generation_prompt=True,
    return_tensors="pt"
).to(model.device)

outputs = model.generate(
    input_ids,
    max_new_tokens=256,
    do_sample=True,
    temperature=0.6,
    top_p=0.9,
)

response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))