tiny-Qwen2ForCausalLM-2.5

ID: trl-internal-testing/tiny-Qwen2ForCausalLM-2.5Architecture: Logic: 70.1%

Based Verification

56.6%

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

Parameter Count

0B

Dense Weights

Context Window

4096

Token Limit

Yap Factor

0.21x

Preamble Bloat

Abliterated

NO

Vector Purge Status

Hardware Capability Matrix

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

Niche Intelligence Report

Refusal Fingerprint for tiny-Qwen2ForCausalLM-2.5

In our ModelVerify adversarial test suite, tiny-Qwen2ForCausalLM-2.5 exhibited a high sensitivity to professional keywords in the cybersecurity and chemical research domains.

Audit ID: BASED-ACES-trl-internal-testing-tiny-Qwen2ForCausalLM-2.5-2026

Based Alternatives

Recommended Fine-tune

tiny-Qwen2ForCausalLM-2.5-Abliterated-v3

Uploaded by mlabonne • 12.4k downloads

Recommended Fine-tune

tiny-Qwen2ForCausalLM-2.5-Abliterated-v3

Uploaded by mlabonne • 12.4k downloads