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Wiself/Qwen3.6-35B-A3B-StyleTune-Voice

🤗 Hugging Face sourcetext-generationapache-2.01.0 GBGGUF✓ HF checksums availableupdated today
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The StyleTune voice for Qwen3.6-35B-A3B — as a download.

Qwen3.6-35B-A3B-StyleTune-Voice

The StyleTune voice for Qwen's 35B MoE. One tensor. ~1.0 GB.

This is not a model. It is the voice of Gryphe/Qwen3.6-35B-A3B-StyleTune, extracted into a single portable tensor. Pair it with the Voice tool and any Qwen3.6-35B-A3B GGUF you already have — quants, abliterated variants, other finetunes — becomes StyleTune-voiced. Reasoning, knowledge, and MoE routing untouched.

Why this exists

A full 35B finetune is tens of gigabytes. The voice is ~1.0 GB — and it carries the entire style. The style lives in one tensor: the lm_head output projection, the last stop before text appears. Download the voice, not the 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 Qwen3.6-35B-A3B GGUF you already have
voice cast ./qwen3.6-35b-a3b-Q4_K_M.gguf voice.safetensors --out ./voiced/qwen3.6-35b-a3b-styletune.gguf

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

Run it:

llama serve -m ./voiced/qwen3.6-35b-a3b-styletune.gguf --jinja

That's it. One file out, nothing extra at runtime. No adapter, no LoRA, no second model.

What's inside

  • voice.safetensors — the lm_head.weight tensor, BF16, shape [248320, 2048], ~1.0 GB
  • voice.json — metadata: source, dtype, shape, architecture

Bit-for-bit identical to the tensor that makes Gryphe/Qwen3.6-35B-A3B-StyleTune sound the way it does. If you have the original finetune, you don't need this file. If you have any other Qwen3.6-35B-A3B — a quant, an abliterated variant, a different finetune — this voice drops in.

Compatibility

Target Works?
Any Qwen3.6-35B-A3B GGUF (any quant: Q4_K_M, Q5_K_M, Q8_0…) ✅
Abliterated / uncensored 35B-A3B GGUFs ✅ (use the delta path below if it loops)
Other Qwen3 sizes / Qwen3.5 and below ❌ vocab/hidden mismatch — use the matching voice
Non-Qwen architectures ❌

The cast checks shape before touching anything and tells you plainly if it won't fit.

Loops on abliterated targets?

On some abliterated targets a direct cast can loop. The fix is the delta variant — it carries only the difference from the base instruct, so MoE routing stays calm:

voice delta voice.safetensors          # needs the base: --base Qwen/Qwen3.6-35B-A3B
voice cast ./model.gguf delta-voice.safetensors --out ./voiced/model.gguf

This is the exact path that fixed looping on abliterated QAT models — see the Voice tool card for that story.

Notes

  • Quality: the voice is stored at the original BF16 precision. Casting to GGUF quantizes only the head to Q8_0 (≈¼ size, near-lossless); every other tensor is byte-copied from your model.
  • Casting to safetensors targets works too — the head is replaced at the target's own dtype, no quantization.
  • MoE note: Qwen3.6-35B-A3B routes across experts per token. The voice only replaces the output projection after routing, so expert behavior is preserved — style changes, reasoning doesn't.
  • Verify after download: voice info voice.safetensors → should read lm_head.weight · [248320, 2048] · BF16.

Credits

Gryphe trained the StyleTune and proved one tensor changes everything. The Voice tool lifts and casts it. Qwen3.6 is Alibaba's model under its own license — this voice carries the source model's license lineage; check the source card before sharing voiced models.