Dark-Scarlett-v1.0-26B-A4B-Voice
Dark Scarlett seems like a cool model. Try its voice on your GGUF, see how it sounds — nothing crazy.
This is the voice of ReadyArt/Dark-Scarlett-v1.0-26B-A4B in a single portable tensor (~1.5 GB). If you already have a Gemma 4 26B A4B GGUF, cast it on with the Voice tool and hear how it reads — your base underneath, Scarlett's writing on top.
What it is
Dark Scarlett is an uncensored M→F roleplay LoRA (rank 32, 2 epochs, 12,211 prompts) on the Gemma 4 26B instruct base. We lift the output head — the part that shapes the writing — and skip the rest, so the download is one tensor instead of a full model.
Two steps
# 1. Get the voice tool (one-time): https://huggingface.co/Wiself/voice
python3 voice.py path # optional, puts `voice` on your PATH
# 2. Cast it onto any Gemma 4 26B A4B GGUF you already have
voice cast ./gemma-4-26b-a4b-it-Q4_K_M.gguf voice.safetensors --out ./voiced/gemma-4-26b-a4b-scarlett.gguf
Run it:
llama serve -m ./voiced/gemma-4-26b-a4b-scarlett.gguf --jinja
One file out. No adapter at runtime, no LoRA, no second model.
The numbers
Our own probe, not the source author's benchmarks — one prompt, five builds, single greedy draws each (first probe, more coming; full data as tensorwars.md in the Voice tool repo). Cast onto Orion (TheDrummer_Orion-26B-A4B-v1):
- 127 voice-only 4-grams — phrases the voiced builds share with each other and never with the base. Longest shared spans reach 8 words (e.g.
the clatter of cart wheels on basalt paving). - Donor fidelity — the output-slot build shares 4 exact phrases with Scarlett herself (
distant roar of the crowd,the grain dole,the emperor himself,basalt paving stones). Trigram overlap with base sits at 0.026–0.036. - Slot matters — same voice lands differently per slot (output-only vs embed-only share just 0.058 trigram overlap). Default cast speaks through
output.weight;--speakforces it.
Works on more than the base model
Because the voice is just a tensor, it casts onto any compatible Gemma 4 26B A4B GGUF:
- Different finetunes — keep the stronger base, gain Scarlett's voice
- Quantized GGUFs — any quant; your tensors stay untouched, only the head is replaced
On heavily modified targets a direct cast can loop. The delta path fixes it — it carries only the difference from the base instruct, so MoE routing stays calm:
voice delta voice.safetensors --base google/gemma-4-26B-A4B-it
voice cast ./model.gguf delta-voice.safetensors --out ./voiced/model.gguf
What's inside
voice.safetensors— thelm_head.weighttensor, source dtype preserved, arch-derived shape[262144, 2816], ~1.5 GBvoice.json— metadata: source, dtype, shape, architecture
Confirm after download: voice info voice.safetensors → lm_head.weight · [262144, 2816].
Compatibility
| Target | Works? |
|---|---|
| Any Gemma 4 26B A4B GGUF (any quant) | ✅ |
| QAT-derived GGUFs | ✅ works, but the QAT voice is the exact match |
| Gemma 4 other sizes (9B, 12B, 31B) | ❌ shape mismatch — use the matching voice |
| Non-Gemma architectures | ❌ |
Notes
- Sampler tips from the source card: Top-P 0.92, temp 1.0, no frequency/presence penalty. Thinking models:
enable_thinking: true, medium reasoning effort. - Usage terms carry over: personal use only, 18+, you accept full responsibility for outputs — see the source card before sharing voiced models.
- Casting quantizes only the head to Q8_0 (near-lossless); all other tensors byte-copied.
Credits
ReadyArt — Dark Scarlett finetune (dataset generation: GECFDO; fine-tuning: FrenzyBiscuit). The Voice tool lifts and casts it. Base model is Google's, under Gemma terms.