tanh1c

lab21-2A202601755-qwen35-triage-vi

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README

License: apache-2.0

Configuration

Base: Qwen/Qwen3.5-9B
Placement: text-decoder linear modules
Rank / alpha: 16 / 32
Learning rate: 1e-4
Optimizer steps: 30 (2 epochs)
Precision: bf16
Hardware: NVIDIA A100-SXM4-40GB

Measured results

Target field accuracy: 0.990
Format compliance: 1.000
Prompted-base target baseline: 0.815
Regression score: 0.1333 versus 0.7422 for the base
Regression verdict: FAILED because general capability dropped by 0.609

Limitations

This adapter over-applies the triage JSON schema to general questions. It must not replace a general-purpose assistant without routing or replay-data mitigation. The measured target gain does not offset the general-capability regression for broad deployment.

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Model Details

Model Provider

tanh1c

Model Tree

Base

Qwen/Qwen3.5-9B

Adapter

this model

Input Modalities

TextImageVideo

Output Modalities

Text

Supported Functionality

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README

License: apache-2.0

Configuration

Base: Qwen/Qwen3.5-9B
Placement: text-decoder linear modules
Rank / alpha: 16 / 32
Learning rate: 1e-4
Optimizer steps: 30 (2 epochs)
Precision: bf16
Hardware: NVIDIA A100-SXM4-40GB

Measured results

Target field accuracy: 0.990
Format compliance: 1.000
Prompted-base target baseline: 0.815
Regression score: 0.1333 versus 0.7422 for the base
Regression verdict: FAILED because general capability dropped by 0.609