Unsloth private-data fine-tune
According to the model card, the release is an UNSLOTH fine-tune on private datasets over a HERETIC and UNCENSORED Gemma 4 31B, with google/gemma-4-31B-it recorded as the fine-tune base.
Open Source Model Profile · DavidAU
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking is a 31.27B-parameter Gemma 4 fine-tune from DavidAU. According to the model card, it is an UNSLOTH V1 tune on private datasets.
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking is published by DavidAU as an image-text-to-text model. The captured configuration identifies Gemma4ForConditionalGeneration, and Safetensors metadata reports 31,273,086,512 parameters. According to the model card, it is a first-iteration mystery fine-tune aimed at HERETIC and UNCENSORED behavior.
According to the model card, the release is an UNSLOTH fine-tune on private datasets over a HERETIC and UNCENSORED Gemma 4 31B, with google/gemma-4-31B-it recorded as the fine-tune base.
Captured hub records identify image-text-to-text use with creative-writing, roleplaying, coder, and fiction tags; the card separately describes interleaved text-and-image prompting.
According to the model card, V1 is described as very strong against untuned Gemma 4 31B at 6 of 7 benchmarks, with a lighter V2 on the same datasets planned.
According to the model card, template, tuning, or base-model issues remain possible even though manual testing found none.
Source: DavidAU/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking
Captured: Unknown. Processed: 2026-09-07T19:34:30.154215+00:00.
gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking This is a UNSLOTH fine tune using private datasets on a HERETIC/UNCENSORED Gemma 4 31B. It is a "mystery" because this is the first one. How will it turn out? Hmmm [see example generations at bottom of this page]. This is V1. (benchmarks below - it exceeds root model in 6 out of 7 benchmarks.) Based on testing/metrics, V2 (and/or V3) will be adjusted accordingly. UPDATE: V1 came out very strong ; it maybe perfect for your use cases or too strong. Based on testing, benching (very strong VS untuned Gemma 4 31B ), v2 will being training shortly. V2 UPDATE: Training for this w…
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