SetneufPT/ Gemma4-12B_Q4_64K_16GB-GPU

455 1 week ago

Custom model for coding with agents to use locally with 16gb or 2x8gb GPUs (working fine...)

tools thinking 
ollama run SetneufPT/Gemma4-12B_Q4_64K_16GB-GPU

Applications

Claude Code
Claude Code ollama launch claude --model SetneufPT/Gemma4-12B_Q4_64K_16GB-GPU
Codex App
Codex App ollama launch codex-app --model SetneufPT/Gemma4-12B_Q4_64K_16GB-GPU
OpenClaw
OpenClaw ollama launch openclaw --model SetneufPT/Gemma4-12B_Q4_64K_16GB-GPU
Hermes Agent
Hermes Agent ollama launch hermes --model SetneufPT/Gemma4-12B_Q4_64K_16GB-GPU
Codex
Codex ollama launch codex --model SetneufPT/Gemma4-12B_Q4_64K_16GB-GPU
OpenCode
OpenCode ollama launch opencode --model SetneufPT/Gemma4-12B_Q4_64K_16GB-GPU

Models

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1 model

Gemma4-12B_Q4_64K_16GB-GPU:latest

6.8GB · 128K context window · Text · 1 week ago

Readme

Gemma 4 - 12B param, Q4, 64K ctx, Local/Offline, 16GB (or 2x 8GB) GPU

Custom Ollama model, fine-tuned from Gemma4 12b from Unsloth, configured for local coding-agent workflows, especially with Open Code or Hermes.

This model is based on a 12B 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 model
  • Size: 12B parameters
  • Quantization: Q4
  • Context target: 64K
  • Real GPU memory usage: 8,2 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:

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

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