---
license: apache-2.0
language:
- en
base_model:
- Gryphe/Gemma-4-31B-StyleTune
tags:
- gemma4
- styletune
- voice
- gguf
- roleplay
- creative-writing
- style-transfer
library_name: voice
pipeline_tag: text-generation
---

<p align="center"><strong>The strongest cliché reduction in the family — as a 2.8 GB download.</strong></p>

# 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](https://huggingface.co/Wiself/voice) and any **Gemma 4 31B** GGUF you already have becomes StyleTune-voiced.

---

## The numbers that matter

From [Gryphe's card](https://huggingface.co/Gryphe/Gemma-4-31B-StyleTune) — 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

```bash
# 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
```
Append `--speak` to force the voice through `output.weight` (invented if the target lacks it and geometry survives; GGUF only).

Run it:

```bash
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](https://huggingface.co/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](https://huggingface.co/Wiself/gemma-4-12B-Styletune-Voice#loops--abliterated-targets)) |
| 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](https://huggingface.co/Wiself/gemma-4-12B-Styletune-Voice) · [26B A4B V2 voice](https://huggingface.co/Wiself/gemma-4-26B-A4B-Styletune-V2-Voice) · [26B A4B QAT voice](https://huggingface.co/Wiself/gemma-4-26B-A4B-QAT-Styletune-V2-Voice) · **31B voice (this repo)**

Source models: [Gryphe/Gemma-4-12B-StyleTune](https://huggingface.co/Gryphe/Gemma-4-12B-StyleTune) · [Gryphe/Gemma-4-26B-A4B-StyleTune-V2](https://huggingface.co/Gryphe/Gemma-4-26B-A4B-StyleTune-V2) · [Gryphe/Gemma-4-31B-StyleTune](https://huggingface.co/Gryphe/Gemma-4-31B-StyleTune)

---

## Credits

[Gryphe](https://huggingface.co/Gryphe) — the StyleTune technique, the MythoMax lineage discovery that `lm_head` carries style, and all benchmarks cited above. [Anthracite](https://huggingface.co/anthracite-org), [Latitude](https://huggingface.co/LatitudeGames). Tool: [Voice](https://huggingface.co/Wiself/voice). Gemma 4 is Google's model under Gemma terms — check the [source card](https://huggingface.co/Gryphe/Gemma-4-31B-StyleTune) before sharing voiced models.