SetneufPT/ Qwopus3.5-9B-Coder_Q8_64k_16GB-GPU:latest

227 1 month ago

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

ollama run SetneufPT/Qwopus3.5-9B-Coder_Q8_64k_16GB-GPU

Details

1 month ago

aa29b8b41380 · 9.5GB ·

model
qwen35
·
8.95B
·
Q8_0
system
You are a coding agent. Be concise. Avoid loops. Use tools only when necessary. Do not repeat the sa
license
Credits to Jackrong. Base model: Qwopus3.5 9B Coder Original model: Qwen3.5 9B
params
{ "num_ctx": 64000, "repeat_last_n": 4096, "repeat_penalty": 1.1, "seed": 79, "t

Readme

Qwopus 3.5 Coder - 9B param, Q8, 64K ctx, Local/Offline, 16GB (or 2x 8GB) GPU

Custom Ollama model, fine-tuned from Qwopus3.5 Coder 9B (reasoning distillation from Opus) from Jackrong, configured for local coding-agent workflows, especially with Claude Code.

This model is based on a 9B parameter LLM, quantized in Q8, 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: 9B parameters
  • Quantization: Q8
  • Context target: 64K
  • Real GPU memory usage: 12 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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