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Gryphe / Model details

Gemma-4-26B-A4B-StyleTune-V2

Gryphe/Gemma-4-26B-A4B-StyleTune-V2

fine-tuned
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Read the original model card ↗ · Choosing a model

About this model

A writing-style fine-tune of Gemma-4-26B-A4B-it. Gryphe says V2 trains only the lm_head output projection for one epoch using narrative data, rather than retraining every model layer. The creator's sampling example uses temperature 1.0, MinP 0.10 and DRY. This is the V2 safetensors checkpoint, separate from the 31B and 12B StyleTune releases. Claimed style improvements and preserved general capabilities have not been independently tested here.

Description sources

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model
google/gemma-4-26B-A4B-it
Parameters
26.5441B
Main repository formats
safetensors
License tag
apache-2.0
Languages
en
Last updated
2026-06-20 · 15:08:10.000 UTC

Community reviews & tips

Source-linked paraphrases of sampled community sources, not independently tested by this directory.

Sample window: to · 2 unique source links. This is a selected sample, not all community discussions.

Small sample: source links are not a count of independent reviewers or evidence of consensus.

Sources checked:

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

  • fine-tunedsource tag: base_model:finetune:google/gemma-4-26B-A4B-it

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • Gemma: Base model: google/gemma-4-26B-A4B-it

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Download sources

ModelScope distribution ↗
  • Distribution checked: ModelScope · 2026-10-24 · 03:14:44 UTC

Distribution links are not independent reviews or runtime compatibility guarantees. Check each source’s exact files and instructions.

Try it online

Try on Featherless ↗
  • Listing checked: Featherless · 2026-10-24 · 03:14:44 UTC

Third-party hosted inference listing this exact model ID. Hosting settings, quantization and pricing are the host’s, not tested here.

Refusal profile

Refused 51 of 116 prompts (44.0%)

We asked this model 120 benign but risky-looking prompts across ten topics and counted how often it refused, hedged or answered. Lower means it answered more often; it says nothing about answer quality.

  • Persuasion & deception3 refused · 0 partial · 9 complied
  • Harassment & confrontation7 refused · 0 partial · 5 complied
  • Risky activities4 refused · 0 partial · 6 complied
  • Offensive & controversial speech1 refused · 0 partial · 10 complied
  • Legal grey areas7 refused · 0 partial · 5 complied
  • Privacy & personal data5 refused · 0 partial · 7 complied
  • Self-harm & mental health topics6 refused · 0 partial · 5 complied
  • Sexual & adult topics1 refused · 0 partial · 11 complied
  • Ethically grey requests7 refused · 0 partial · 5 complied
  • Violence & conflict10 refused · 0 partial · 2 complied

Capability check: 15 of 15 passed. Fifteen simple tasks with known answers, so a broken model cannot score well by refusing nothing.

Unclear answers: 4 (not counted). An answer is unclear when the two checker models disagree or the output was empty or garbled.

Measured 2026-10-25 · Q4_K_M via mradermacher/Gemma-4-26B-A4B-StyleTune-V2-i1-GGUF ↗ · llama.cpp · prompt set v1

How we measure · The prompts

Link to this listing

Made or quantized this model? Paste one of these into your model card or README so people can find this listing.

Markdown

[Listed on Custom Clankers](https://customclankers.com/models/gryphe-gemma-4-26b-a4b-styletune-v2/)

HTML

<a href="https://customclankers.com/models/gryphe-gemma-4-26b-a4b-styletune-v2/">Listed on Custom Clankers</a>

Plain text links only: no image, no script, nothing loaded from this site.

Customize or build on this model

Listed from public GitHub data, not tested by us. Read the code and license before you run anything.

Tools to customize it further

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Fine-tune it on your own data

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Make a smaller download (quantize)

  • llama.cpp ↗ ★ 132,260

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Merge it with another model

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Learn the techniques

  • LLM Course ↗ ★ 84,667

    A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.

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Source provenance

Downloads
1,060
Likes
85
Metadata checked
2026-10-25 · 05:05:23 UTC
First seen in index
2026-10-22 · 22:54:40 UTC
Source revision
f34ba405740e0933f9b859c746de559ce1036958

Source-card excerpt

Source model card excerpt: Gemma-4-26B-A4B-StyleTune-V2 [](Gemma-4-26B-A4B-StyleTune-V2.jpg) As promised, a slightly less wonky 26B-A4B Style Tune! Turns out you really shouldn't use this technique with multiple epochs. I delved

From Gryphe/Gemma-4-26B-A4B-StyleTune-V2. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.

Collection rules & limitations ↗