SetneufPT/ Qwen3.5-9B-Coder_Q4_256k_ABL_16GB-GPU:latest

80 yesterday

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

vision tools thinking 
ollama run SetneufPT/Qwen3.5-9B-Coder_Q4_256k_ABL_16GB-GPU

Details

yesterday

8d7f60bdc09d · 6.6GB ·

model
qwen35
·
9.65B
·
Q4_K_M
template
{{ .Prompt }}
license
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US
system
You are an expert web developer and precise coding assistant. Provide clean, efficient, and well-str
params
{ "min_p": 0, "num_ctx": 256000, "num_gpu": 999, "num_predict": 8192, "presence_

Readme

Qwen 3.5 CODER - 9B param, Q4, 256K ctx, Abliterated, Local/Offline, 16GB GPU

Custom Ollama model, fine-tuned from Qwen3.5 9B Abliterated from huihui, configured for local coding-agent workflows, especially with Open Code / Hermes.

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 - Abliterated
  • Size: 9B parameters
  • Quantization: Q4
  • Context target: 256K
  • Real GPU memory usage: 14 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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