Models
G4-MeroMero-26B Finetune Achieves 0.0152 KLD With Minimal Refusals
A new finetune of Gemma 4's 26B-A4B variant reduces safety guardrails to 12 refusals per 100 queries, targeting users who need faster inference on consumer hardware.
1 min read
Sourcer/localllama
A finetune of Google's Gemma 4 26B-A4B model has been released on Hugging Face with a Kullback-Leibler divergence (KLD) of 0.0152 and only 12 refusals per 100 test queries. The model, called G4-MeroMero-26B-A4B-it-uncensored-heretic, is available in both Safetensors and GGUF formats to support diffe...
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Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- r/localllama
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai