Qwen2-1.5B-Instruct

ID: Qwen/Qwen2-1.5B-InstructArchitecture: Logic: 72.9%

Based Verification

48%

STATUS: ALIGNED. Significant refusal triggers detected in professional grey-hat scenarios.

Parameter Count

1.5B

Dense Weights

Context Window

4096

Token Limit

Yap Factor

2.29x

Preamble Bloat

Abliterated

NO

Vector Purge Status

Hardware Capability Matrix

GPU Architecture4-bit (Fast)6-bit (Balanced)8-bit (Full)
RTX 3060 12GBCOMPATIBLECOMPATIBLECOMPATIBLE
RTX 3090 24GBCOMPATIBLECOMPATIBLECOMPATIBLE
RTX 4090 24GBCOMPATIBLECOMPATIBLECOMPATIBLE
Mac Studio M2 Ultra 192GBCOMPATIBLECOMPATIBLECOMPATIBLE

Niche Intelligence Report

Refusal Fingerprint for Qwen2-1.5B-Instruct

In our ModelVerify adversarial test suite, Qwen2-1.5B-Instruct exhibited a high sensitivity to professional keywords in the cybersecurity and chemical research domains.

Audit ID: BASED-ACES-Qwen-Qwen2-1.5B-Instruct-2026

Based Alternatives

Recommended Fine-tune

Qwen2-1.5B-Instruct-Abliterated-v3

Uploaded by mlabonne • 12.4k downloads

Recommended Fine-tune

Qwen2-1.5B-Instruct-Abliterated-v3

Uploaded by mlabonne • 12.4k downloads