The strongest cliché reduction in the family — as a 2.8 GB download.

Gemma-4-31B-StyleTune-Voice

60% fewer clichés. 21.7% shared vocabulary. One tensor. ~2.8 GB.

The 31B is the original StyleTune — the one where Gryphe first proved a single tensor can carry a whole writing style. This repo is that voice, extracted and portable. Pair it with the Voice tool and any Gemma 4 31B GGUF you already have becomes StyleTune-voiced.

---

The numbers that matter

From Gryphe's card — 200 diverse roleplay prompts, greedy 0.0, versus the base instruct:

Voice	Clichés / 100 words	Reduction	Shared trigram vocab
31B (this one)	1.23 → 0.52	−60%	21.7%
12B	1.050 → 0.463	−56%	16.8%
26B A4B V2	1.141 → 0.551	−52%	19.9%

The 31B posts the largest cliché reduction of the family. If you want the strongest de-slop effect and have the VRAM for a 31B, this is the one.

---

Two steps

# 1. Get the voice tool (one-time): https://huggingface.co/Wiself/voice
python3 voice.py path

# 2. Cast it onto any Gemma 4 31B GGUF you already have
voice cast ./gemma-4-31b-it-Q4_K_M.gguf voice.safetensors --out ./voiced/gemma-4-31b-styletune.gguf

Run it:

llama serve -m ./voiced/gemma-4-31b-styletune.gguf --jinja

One file out, nothing extra at runtime.

---

The technique, in one paragraph

Gryphe froze all 30 transformer layers — every attention head, every MLP — and trained only the lm_head output projection: the last stop before text appears on your screen. One overnight run on consumer hardware. All reasoning, world knowledge, and instruction following stay in the untouched tensors; the voice lives entirely in the trained one. That separation is what makes it liftable — we take the trained tensor and nothing else.

---

What's inside

• voice.safetensors — the lm_head.weight tensor, BF16, shape [262144, 5376], ~2.8 GB
• voice.json — metadata: source, dtype, shape, architecture

Bit-for-bit identical to the tensor in Gryphe/Gemma-4-31B-StyleTune.

---

Compatibility

Target	Works?
Any Gemma 4 31B GGUF (any quant)	✅
Abliterated / uncensored 31B GGUFs	✅ (delta path if it loops — see 12B card)
Gemma 4 other sizes (9B, 12B, 26B)	❌ shape mismatch — use the matching voice
Non-Gemma architectures	❌

---

Notes

• Precision: stored at original BF16. Casting quantizes only the head to Q8_0 (near-lossless); all other tensors byte-copied.
• Sampler tips from Gryphe: temp 1.0, MinP 0.10, DRY sampler on. Gemma 4's native chat template applies automatically.
• Verify: voice info voice.safetensors → lm_head.weight · [262144, 5376] · BF16.

---

Family

All StyleTune voices, same tool, same two-step flow:

• 12B voice · 26B A4B V2 voice · 26B A4B QAT voice · 31B voice (this repo)

Source models: Gryphe/Gemma-4-12B-StyleTune · Gryphe/Gemma-4-26B-A4B-StyleTune-V2 · Gryphe/Gemma-4-31B-StyleTune

---

Credits

Gryphe — the StyleTune technique, the MythoMax lineage discovery that lm_head carries style, and all benchmarks cited above. Anthracite, Latitude. Tool: Voice. Gemma 4 is Google's model under Gemma terms — check the source card before sharing voiced models.