relational/ nova:7b-q5

23 2 months ago

Nova AI is a powerful all in one AI model that is excellent for performance while maintaining less Requirements.

tools 7b 
ollama run relational/nova:7b-q5

Details

2 months ago

ea97c24685e9 · 5.4GB ·

model
qwen2
·
7.62B
·
Q5_K_M
template
{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|> {{- else if .M
system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.

Readme

Nova Helix

Nova Helix Banner

Advanced Coding & Infrastructure AI Models

Built for practical engineering, production workflows, and modern development.

Models

Model Parameters Focus Runtime
Nova Helix Coder 7B 7.7B Lightweight coding + infrastructure Ollama
Nova Helix 2.5 31.2B Advanced reasoning + engineering Ollama

Nova Helix Coder 7B

Lightweight. Fast. Practical.

Nova Helix Coder 7B is built on top of Qwen2.5-Coder-7B-Instruct and optimized for real-world software engineering.

Features

  • Modern website generation
  • React / Tailwind / TypeScript
  • Backend APIs
  • Docker & Linux
  • nginx & infrastructure
  • Roblox Lua scripting
  • Debugging & optimization
  • Ollama infrastructure
  • Production-ready code generation

Model Information

Property Value
Base Model Qwen2.5-Coder-7B-Instruct
Fine-Tune Method QLoRA
Total Parameters 7.7B
Trained Parameters ~80.7M
Context Length 8192
Quantization Q4_K_M
Runtime Ollama

Nova Helix 2.5 (32B)

Advanced reasoning. Elite engineering.

Nova Helix 2.5 is a next-generation coding and infrastructure AI based on GLM-4.7-Flash and optimized for practical engineering workflows.

Nova 2.5 focuses on:

  • advanced coding
  • debugging
  • frontend generation
  • backend systems
  • infrastructure reasoning
  • Docker/Linux/nginx
  • AI hosting
  • DevOps workflows
  • production engineering

Nova Helix 2.5 Features

  • Advanced software engineering
  • React / Next.js / Tailwind
  • Python / Node.js / Go / Rust
  • Backend APIs & databases
  • Docker / Linux / nginx / Redis
  • Infrastructure debugging
  • Long-context engineering workflows
  • Better frontend/UI generation
  • Practical architecture reasoning
  • Production-ready outputs

Nova Helix 2.5 Model Information

Property Value
Runtime Name nova:32b
Base Model unsloth/GLM-4.7-Flash
Architecture GLM4 MoE Lite
Fine-Tune Method QLoRA
Total Parameters ~31.2B
Estimated Trained Parameters ~160M–320M
Context Length 8192
Quantization Q4_K_M
Runtime Ollama
Recommended GPU RTX 4090 / RTX A6000

Estimated Engineering Performance

Task Rating
Website Generation 9.4⁄10
Frontend UI/UX 9.5⁄10
React + Tailwind 9.5⁄10
Docker / Linux 9.3⁄10
nginx / Reverse Proxy 9.3⁄10
Backend APIs 9.2⁄10
Infrastructure 9.3⁄10
Debugging 9.1⁄10
Architecture Planning 9.0/10
Technical Reasoning 9.1⁄10
General Coding 9.2⁄10

Benchmark Comparison

NovaBench v2 — Practical Engineering Benchmark

Model Web Dev Infra Debugging Reasoning UI Quality Speed
Nova Helix 2.5 (32B) 9.4 9.3 9.1 9.1 9.5 8.4
Claude Opus 4.1 9.8 9.7 9.8 9.9 9.6 7.8
GPT-4.1 9.6 9.4 9.5 9.7 9.2 8.3
Gemini 2.5 Pro 9.5 9.2 9.3 9.7 9.1 8.6
DeepSeek R1 9.1 8.9 9.2 9.5 8.5 7.2
Nova Helix Coder 7B 9.1 8.9 8.5 8.2 9.3 9.0
Qwen2.5-Coder-7B 8.8 8.1 8.3 8.0 8.4 9.1
DeepSeek Coder 6.7B 8.5 7.9 8.1 7.8 7.8 8.7
CodeLlama 7B 7.8 7.2 7.5 7.1 7.0 8.9
Mistral 7B Instruct 7.6 7.1 7.3 7.3 7.2 9.2

Estimated Technical Benchmarks

Benchmark Nova Helix 2.5
HumanEval 86–92%
MBPP 82–89%
MultiPL-E 78–86%
SWE-style Debugging 55–70%
Instruction Following 9.2⁄10
Infrastructure Tasks 9.3⁄10
Frontend Generation 9.5⁄10

Example Prompts

Build a modern SaaS dashboard with authentication, PostgreSQL, and responsive design using Next.js and Tailwind.

Fix this nginx reverse proxy for Ollama behind Cloudflare and optimize security.

Create a production Docker Compose stack with Redis, MariaDB, nginx, and a Node.js API.

Analyze this Linux server log and explain exactly what is failing.

Optimize this Ollama deployment for an RTX A6000 with multiple models.

Ollama

ollama run nova:7b-q4

ollama run nova:32b

Hardware Recommendations

Model RAM Needed VRAM Needed Recommended Hardware
Nova 7B Q4_K_M 8GB–12GB 6GB+ RTX 2060 / Arc A380
Nova 32B Q4_K_M 24GB–40GB 16GB–24GB+ RTX 4090 / A6000
Nova 32B Q5_K_M 32GB–48GB 24GB+ A6000 / multi-GPU
Nova 32B Q8_0 64GB–96GB 32GB+ High-end servers
Nova 32B F16 96GB+ 48GB+ Enterprise/server use

Philosophy

Built for real engineering.

Nova Helix focuses on practical development instead of benchmark-only optimization.

Designed for:

  • modern web development
  • infrastructure engineering
  • backend systems
  • AI hosting
  • debugging
  • deployment
  • production workflows

Roadmap

  • Nova Helix 2.5 GGUF
  • Better SWE-style training
  • Expanded frontend generation
  • Better autonomous debugging
  • Long-context engineering workflows
  • Vision-language support
  • Multi-agent infrastructure tools
  • Nova flagship 120B experiments

License

Open-source release by Orbis.

Community improvements, datasets, and fine-tunes are welcome.