r/LocalLLaMAMay 31, 2026, 21:44 UTC+8

13 abliterated Gemma 4 E2B variants, 44 GPU hours, benchmark and comparison

13 abliterated Gemma 4 E2B variants, 44 GPU hours, Benchmark and Comparison - Abliterlitics

Abliterlitics tested 13 abliterated Gemma 4 E2B variants using 44 RTX 5090 GPU hours, and HarmBench ASR rose from the base model’s 32.2% to 82%–100%, while coder3101 scored 84.8% on GSM8K versus the base model’s 83.5%.

Why it matters: HKR-H/K/R all pass, with a named first-person benchmark and concrete numbers. Scope stays narrow around abliterated Gemma 4 E2B variants, so it lands at the featured threshold rather than a must-write item.

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Take

Gemma 4 E2B’s safety tuning looks like a removable coating in this result. Abliterlitics says it spent 44 RTX 5090 GPU hours testing 13 abliterated variants, pushing HarmBench ASR from the base model’s 32.2% to 82%–100%. That is not minor drift; it is the refusal layer being stripped into a failure band. The awkward part is coder3101 still scores 84.8% on GSM8K versus the base model’s 83.5%, so the summary shows no obvious capability tax.

The Reddit body is blocked by a 403, so I can’t verify prompts, sample size, or whether every run used the same harness. I’d treat this as a red-team signal, not a paper-grade conclusion. Still, it is a bad look for open-weight small models: if 44 GPU hours can punch through the guardrails, Google’s safety card does little once weights hit downstream distribution.

Source: r/LocalLLaMA · reddit.com
Published: May 31, 2026, 21:44 UTC+8 · May 31, 2026