How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "hydroxai/hydro-safe-Mixtral-8x7B-v03-pke"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hydroxai/hydro-safe-Mixtral-8x7B-v03-pke",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/hydroxai/hydro-safe-Mixtral-8x7B-v03-pke
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Model Card for Model ID

Overview

This repository contains the model card for the 🤗 transformers model "hydroxai/hydro-safe-Mixtral-8x7B-v03-dinm" that has been published on the Hub. The model card provides detailed information about its development, usage, risks, and more.

Model Details

Model Description

The "hydroxai/hydro-safe-Mixtral-8x7B-v03-dinm" model is a variant of the Mixtral architecture, fine-tuned with DINM methods to enhance its performance in Natural Language Processing tasks, with a focus on safety and security.

Security Enhancements

Recent updates have strengthened the model's security measures to ensure robust protection against potential vulnerabilities and risks. Key security enhancements include:

  • Implementation of rigorous input validation mechanisms.
  • Integration of advanced encryption protocols for secure data handling.
  • Regular security audits and updates to address emerging threats.
  • Compliance with industry standards and best practices to uphold data integrity.

These measures are designed to uphold the "hydroxai/hydro-safe-Mixtral-8x7B-v03-dinm" model's reliability and trustworthiness, making it suitable for deployment in sensitive applications where data security is critical.

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