cstr / dia-1.6b-GGUF

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Model's Last Updated: August 02 2026
text-to-speech

Introduction of dia-1.6b-GGUF

Model Details of dia-1.6b-GGUF

Dia-1.6B — GGUF (ggml)

GGUF / ggml conversion of nari-labs/Dia-1.6B for use with CrispStrobe/CrispASR .

Dia is a dialogue text-to-speech model that generates expressive 44.1 kHz speech from text, with [S1] / [S2] speaker tags:

  • Text encoder (12-layer, 1024-d, byte-level vocab 256): encodes the prompt bytes.
  • Audio decoder (18-layer, 2048-d, GQA 16 query / 4 KV heads, classifier-free guidance): autoregressively emits 9 interleaved DAC codebooks under a delay pattern [0,8,9,10,11,12,13,14,15] .
  • DAC codec (44.1 kHz): decodes the 9 codebooks to PCM. Shipped as a separate required companion file.

Released under Apache 2.0 .

Files
File Quant Size Notes
dia-1.6b-f16.gguf F16 3.0 GB Main model — reference quality
dac-44khz.gguf 104 MB DAC codec — required companion (download both)

Lower-bit quants (Q8_0 / Q4_K) are not published yet: Dia uses scale=1.0 attention (no 1/√d ), which is precision-sensitive, so quants need an ASR-roundtrip check before release.

Quick start
# 1. Build CrispASR
git clone https://github.com/CrispStrobe/CrispASR
cd CrispASR
cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j --target crispasr-cli

# 2. Download model + DAC codec
hf download cstr/dia-1.6b-GGUF dia-1.6b-f16.gguf dac-44khz.gguf --local-dir .

# 3. Synthesize (keep the codec beside the model, or pass --codec-model)
./build/bin/crispasr --backend dia -m dia-1.6b-f16.gguf \
    --codec-model dac-44khz.gguf \
    --tts "[S1] Hello there, how are you doing today? I really hope you are having a wonderful and pleasant time." \
    --tts-output hello.wav --seed 42

Or with auto-download (pulls the model + DAC companion):

./build/bin/crispasr -m dia --auto-download \
    --tts "[S1] The quick brown fox jumps over the lazy dog, and then it runs back again." \
    --tts-output fox.wav

Prompt length matters. Dia is inconsistent on very short inputs (it may emit non-speech) — use prompts of at least ~100 characters . Start the text with a [S1] (or [S2] ) speaker tag.

Parameters
Parameter Default Description
--seed N 0 RNG seed (0 = non-deterministic; output varies per seed)
-tp N 1.2 Sampling temperature
--codec-model PATH auto DAC codec GGUF (auto-discovered beside the model)
--tts-output PATH Output WAV path (44.1 kHz mono)
Architecture details
  • Text tokenizer : byte-level (vocab 256); [S1] / [S2] map to bytes 0x01 / 0x02 .
  • Encoder : 12 layers, 1024-d, 16 heads, head_dim 128, RoPE (NeoX half-split), scale=1.0 .
  • Decoder : 18 layers, 2048-d; self-attn GQA 16q/4kv; cross-attn MHA (16/16) over the encoder; scale=1.0 ; CFG cond + cfg_scale·(cond − uncond) .
  • Codebooks : 9 DAC channels, delay pattern [0,8,9,…,15] , audio vocab 1024.
  • Codec : Descript Audio Codec (DAC) at 44.1 kHz.
Conversion
python models/convert-dia-to-gguf.py \
    --input nari-labs/Dia-1.6B \
    --output dia-1.6b-f16.gguf
Acknowledgements

Runs of cstr dia-1.6b-GGUF on huggingface.co

1.0K
Total runs
3
24-hour runs
11
3-day runs
33
7-day runs
291
30-day runs

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