SetneufPT/ ocode79_9b_q4_64k_16gb-gpu

2 6 hours ago

Custom model for Open Code to use locally with 16gb or 2x8gb GPUs (working fine?...)

tools thinking 
ollama run SetneufPT/ocode79_9b_q4_64k_16gb-gpu

Applications

Claude Code
Claude Code ollama launch claude --model SetneufPT/ocode79_9b_q4_64k_16gb-gpu
Codex App
Codex App ollama launch codex-app --model SetneufPT/ocode79_9b_q4_64k_16gb-gpu
OpenClaw
OpenClaw ollama launch openclaw --model SetneufPT/ocode79_9b_q4_64k_16gb-gpu
Hermes Agent
Hermes Agent ollama launch hermes --model SetneufPT/ocode79_9b_q4_64k_16gb-gpu
Codex
Codex ollama launch codex --model SetneufPT/ocode79_9b_q4_64k_16gb-gpu
OpenCode
OpenCode ollama launch opencode --model SetneufPT/ocode79_9b_q4_64k_16gb-gpu

Models

View all →

1 model

ocode79_9b_q4_64k_16gb-gpu:latest

5.6GB · 256K context window · Text · 6 hours ago

Readme

OCode79 - 9B param, Q4, 64K ctx, Local/Offline, 16GB (or 2x 8GB) GPU

Custom Ollama model, fine-tuned from Qwen3.5-9B DeepSeek V4 Flash from Jackrong, configured for local coding-agent workflows, especially with Open Code.

This model is based on a 9B parameter LLM, quantized in Q4, and configured with a large context window for software development tasks. It is intended to provide a practical balance between performance, memory usage, and code-assistance quality on local hardware.

Model details

  • Type: Text/image model
  • Size: 9B parameters
  • Quantization: Q4
  • Context target: 64K
  • Real GPU memory usage: 9,6 GB VRAM
  • Recommended GPU memory: 16 GB VRAM
  • Main focus: Coding and agentic development workflows
  • Tool use: Supported, depending on the client/application
  • Thinking/reasoning mode: Supported, depending on the client/application

Intended use

This model is designed for:

  • Open Code workflows
  • Local coding assistants
  • Code analysis
  • Debugging support
  • Refactoring suggestions
  • Project exploration
  • Terminal-based programming tasks
  • Educational demonstrations of AI coding agents

image.png