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Qwen3.5-2B-Qwen3.6-plus-Distilled-GGUF – AI Model by khazarai | AlphaNeural AI
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Qwen3.5-2B-Qwen3.6-plus-Distilled-GGUF
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gguf
distillation
reasoning
image-text-to-text
en
khazarai/qwen3.6-plus-high-reasoning-500x
khazarai/kimi-2.5-high-reasoning-250x
Rustamshry/General-QA
khazarai/Qwen3.5-2B-Qwen3.6-plus-Distilled
quantized
apache-2.0
endpoints_compatible
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Model Card: Qwen3.5-Qwen3.6-plus-Reasoning-Distilled-GGUF
Overview
This model is a distilled reasoning-enhanced variant of Qwen3.5-2B, designed to improve:
Structured reasoning
Step-by-step problem solving
Decision stability
Output efficiency (token usage)
The model is trained via distillation from a stronger reasoning model (Qwen3.6-plus), transferring:
Clean reasoning trajectories
Better stopping behavior
Reduced reasoning noise
Key Improvements Over Base Model
Reasoning Efficiency
Compared to the base model, this model:
Produces shorter and more relevant reasoning chains
Avoids repetitive self-verification loops
Maintains high signal-to-noise ratio
Stability
The base model often exhibits:
Overthinking
Infinite or near-infinite reasoning loops
Hypothesis explosion
This distilled model:
Converges faster to a solution
Maintains deterministic reasoning paths
Avoids reasoning drift
Decision-Making
Improved reasoning termination policy
Clearer final answers
Better alignment between reasoning and output
Known Failure Modes
Occasional hallucinated justifications
Overconfidence in incorrect options
Missing rare edge-case interpretations
Limited deep domain reasoning beyond training distribution
Available Model files:
qwen3.6-plus-Distilled-GGUF.F16.gguf qwen3.6-plus-Distilled-GGUF.Q8.gguf
An Ollama Modelfile is included for easy deployment.
