AI Chatbot Recommendations

Your System Specifications

Processor

Intel Core i7-7700K @ 4.20GHz (4 cores, 8 threads)

Memory

32GB DDR4-2666 (2x16GB)

Graphics

NVIDIA RTX 3090 (24GB) + RTX 3060 (12GB) + Intel HD 630

Storage

2x 1TB SSDs (SATA + M.2 NVMe)

OS

Windows 10 Pro (64-bit)

Motherboard

MSI Z270 SLI Plus

Recommended Local AI Models

Based on your powerful hardware, here are the best local chatbot models that can assist with coding and act as a personal AI assistant:

WizardCoder 34B

Best Overall

34B Parameters

Specialized for coding tasks with excellent code generation and understanding capabilities.

System Requirements:

RTX 3090 (24GB VRAM) - Can run comfortably

32GB RAM - More than sufficient

Strengths:

Excellent at code generation
Good at code explanation
Strong debugging capabilities

Download Model

CodeLlama 13B

Balanced

13B Parameters

Meta's specialized coding model with good performance at a smaller size than WizardCoder.

System Requirements:

RTX 3060 (12GB VRAM) - Can run well

32GB RAM - More than enough

Strengths:

Good balance of size and capability
Excellent Python support
Faster inference than larger models

Download Model

Mistral 7B

Lightweight

7B Parameters

Highly efficient model that punches above its weight class for general AI tasks and coding.

System Requirements:

RTX 3060 (12GB VRAM) - Runs very well

16GB RAM minimum - Your 32GB is great

Strengths:

Fast response times
Good general knowledge
Decent coding capabilities

Download Model

Implementation Guide

How to Run These Models Locally

Recommended Software:

Text Generation WebUI

User-friendly interface for running local models

GitHub Link

LM Studio

Easy-to-use GUI for Windows/Mac

Official Site

Ollama

Simple local LLM runner

Official Site

Quick Start with Text Generation WebUI:

# Clone the repository

git clone https://github.com/oobabooga/text-generation-webui

cd text-generation-webui

# Install requirements (recommend using conda)

conda create -n textgen python=3.10

conda activate textgen

pip install -r requirements.txt

# Download a model (e.g., WizardCoder 34B)

python download-model.py WizardLM/WizardCoder-34B-V1.0

# Start the web UI

python server.py --model WizardLM_WizardCoder-34B-V1.0 --load-in-8bit

Performance Tips:

Use --load-in-8bit or --load-in-4bit to reduce VRAM usage
For WizardCoder 34B, you might need to use GPTQ quantization to fit in 24GB VRAM
Assign specific GPUs using CUDA_VISIBLE_DEVICES if you want to dedicate one GPU to the model
Consider using --auto-devices to automatically distribute layers across GPUs

Alternative Options

Other Models Worth Considering

Phind-CodeLlama 34B

Optimized version of CodeLlama fine-tuned by Phind, excellent for coding.

Download Model

DeepSeek Coder 33B

Powerful coding model with strong multilingual support.

Download Model

StarCoder2 15B

Great for code completion tasks with permissive license.

Download Model

Llama 3 8B

Meta's latest model with good general capabilities.

Download Model

Ready to Set Up Your Local AI Assistant?

With your powerful hardware, you can run these advanced AI models locally for private, uncensored coding assistance and personal AI companionship.

Download Models Documentation