# **Llama-2-7B**

## Overview

**Model Name:** Llama-2-7B

**Model Version:** 1.0

**Model Size:** Large (based on Nous-Hermes-Llama2-7b)

**Training Dataset:** Guanaco dataset (500 rows)

**Architecture:** Custom architecture derived from Nous-Hermes-Llama2-7b

**Hardware Used:** RTX 4070 (12GB GPU) with 60GB RAM

## Model Description

Llama-2-7B is a large language model designed for commercial and research purposes in the English language. It is built upon Nous-Hermes-Llama2-7b and trained on a limited guanaco dataset consisting of 500 rows. This model is intended for assistant-like chat applications and can be adapted for various natural language generation tasks.

## Intended Use Cases

Commercial and research applications in English.
Assistant-like chat systems.

## Model Usage Guidelines
Follow specific formatting guidelines provided by the model, including INST and <<SYS>> tags, BOS and EOS tokens, and appropriate whitespaces and breaklines. Refer to the provided reference code in the GitHub repository (chat_completion) for detailed instructions.
Utilize the recommended strip() function on inputs to prevent double-spaces.

## Expected Performance
Expected performance and features are optimized for chat-based applications following the specified formatting guidelines.

## Out-of-Scope Uses

Usage violating applicable laws or regulations, including trade compliance laws.
Utilization in languages other than English.
Any other use that contradicts the Acceptable Use Policy and Licensing Agreement for Llama-2.

## Model Safety and Future Improvements

This version represents a static model trained on an offline dataset.
Future versions will be released as improvements are made to enhance model.

## Ethical Considerations

Prioritize ethical usage of the model, ensuring compliance with legal and ethical standards in all applications.
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transformers safetensors llama text-generation facebook meta pytorch llama-2 en autotrain_compatible text-generation-inference region:us