Skip to main content

Fast local AI assistant based on Qwen2.5-Coder-1.5B - No filters, complete memory

Project description

QwenVPFCode-AI

Fast local AI assistant based on Qwen2.5-Coder-1.5B. Runs 100% locally with no filters, complete memory, and colorful terminal interface.

Features

  • 100% Local - No server required
  • No Filters - Uncensored responses
  • Complete Memory - Remembers entire conversation
  • Fast - GPU acceleration when available
  • Colorful UI - Beautiful terminal interface
  • Cross-platform - Works on Android Termux, Linux

Installation

From PyPI

pip install qwenvpfcode-ai

From Source

git clone https://github.com/litaliano00-dev/QwenVPFCode-AI
cd QwenVPFCode-AI
pip install -e .

Arch Linux (Yay)

yay -S qwenvpfcode-ai

Usage

qwenvpfcode-ai

Commands

  • /clear - Clear conversation memory
  • /save - Save conversation
  • /load - Load conversation
  • /exit - Exit
  • /help - Show help

Requirements

  • Python 3.8+
  • 4GB+ RAM (8GB recommended)
  • 4GB+ disk space
  • Internet for initial model download

License

MIT License

Made by litaliano00-dev (https://github.com/litaliano00-dev)

Organization: OPFTS

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qwenvpfcode_ai-1.0.0.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qwenvpfcode_ai-1.0.0-py3-none-any.whl (10.7 kB view details)

Uploaded Python 3

File details

Details for the file qwenvpfcode_ai-1.0.0.tar.gz.

File metadata

  • Download URL: qwenvpfcode_ai-1.0.0.tar.gz
  • Upload date:
  • Size: 9.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for qwenvpfcode_ai-1.0.0.tar.gz
Algorithm Hash digest
SHA256 a46f0f084415b33f375e5e21b9589b382420c1b0b55547ccca453404ecb9a6fe
MD5 4bb21a963ca3c3e1a0d6adc5405067b8
BLAKE2b-256 8a3e496668c6727f3a24f292fb090aaf2216fd1a2afd3219b1cf03dd69ea7de5

See more details on using hashes here.

File details

Details for the file qwenvpfcode_ai-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: qwenvpfcode_ai-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 10.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for qwenvpfcode_ai-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 56bb83b37723889c58d4df64e084241265a263ac3a777c04f8ff1e30ab08380f
MD5 2306ab8377b66b39fae8b3a70f0e70c5
BLAKE2b-256 4c7c5b00b0618faa2cf6ed3217adc995b5caefe0806d2e8d242f00345b40442e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page