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Sponsored by
APIMart
armand0e / Qwen3.5-9B-Pi-Agent
Model's Last Updated: May 13 2026
image-text-to-text
Introduction of Qwen3.5-9B-Pi-Agent
Model Details of Qwen3.5-9B-Pi-Agent
Qwen3.5 9B - Pi mono tune
Training Data
This model was trained on
badlogicgames/pi-mono
agent traces at 24k context (80% of the training examples),
TeichAI/Claude-Opus-4.6-Reasoning-887x
was downsampled and mixed in for stability.
Furthermore the qwen3.6 chat template was used to tune this model.
preserve_thinking
and
enable_thinking
are both supported by the model now. (preserve_thinking is still experimental)
Goal
The goal was to make a model small enough to run on consumer hardware, capable of working in long context agent scenarios
How it turned out
The model seems like it picked up some stylistic qualities from both the various models, will have to try again later with some other data from the same model source.
Other than that though, overall it's ability to work in agent harnesses have improved. Code quality is potentially degraded (unsure as i haven't used the base model as a coding agent for reference).
I recommend using the model with the pi agent harness, connected via the pi lm_studio extension.
LoRA adapter can be found here
- Developed by: armand0e
- License: apache-2.0
- Finetuned from model : unsloth/Qwen3.5-9B
This qwen3_5 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Runs of armand0e Qwen3.5-9B-Pi-Agent on huggingface.co
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More Information About Qwen3.5-9B-Pi-Agent huggingface.co Model
Url of Qwen3.5-9B-Pi-Agent
Qwen3.5-9B-Pi-Agent huggingface.co Url
Provider of Qwen3.5-9B-Pi-Agent huggingface.co
Other API from armand0e
Updated:November 01 2025
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