Result: CODES: Running Mistral-7B-Instruct Locally: A Step-by-Step Guide (For Empirical Validation)

Title:
CODES: Running Mistral-7B-Instruct Locally: A Step-by-Step Guide (For Empirical Validation)
Authors:
Bostick, Devin
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Subject Terms:
Artificial Intelligence, Machine learning, Transformers, Large Language Models, Mistral-7B, Hugging Face, Natural Language Processing, Deep Learning, Model Deployment, Quantum Computing, Python, Open Source AI, Local AI Inference, High-Performance Computing, Fine-Tuning LLMs
Document Type:
Academic journal text
Language:
English
Relation:
https://zenodo.org/records/14829589; oai:zenodo.org:14829589; https://doi.org/10.5281/zenodo.14829589
DOI:
10.5281/zenodo.14829589
Availability:
https://doi.org/10.5281/zenodo.14829589
https://zenodo.org/records/14829589
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.FDC6C587
Database:
BASE

Further Information

1. Expanded CODES Framework (Empirical Studies + Theory) 🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper) 2. Introduction & High-Level Overview 🔹 CODES: High-Level Introduction 3. Structured Resonance & Emergent Intelligence 🔹 Structured Resonance and the Nature of Intelligence Abstract This paper provides a structured guide on how to install, configure, and run Mistral-7B-Instruct-v0.1 locally using the Hugging Face Transformers library. It covers everything from setting up dependencies to optimizing inference for efficiency. The guide is designed for users without extensive coding experience and provides detailed explanations for each step.