Qwen3-ASR 1.7B TQ6_1S Text / TQ4_1S Audio
This repository contains a TurboQuant quantization of
Qwen/Qwen3-ASR-1.7B.
The model card and license follow the upstream Qwen3-ASR model. The weight file
uses a packed TurboQuant safetensors layout and requires a runtime that
understands that layout; it is not a drop-in replacement for the upstream
transformers checkpoint.
Quantization
- Base model:
Qwen/Qwen3-ASR-1.7B
- Text linear weights:
TQ6_1S
- Audio tower linear weights:
TQ4_1S
- Non-linear parameters, biases, normalization weights, tokenizer, and config:
retained from the upstream checkpoint where applicable
- Text hidden size:
2048
- Text layer count:
28
- Hugging Face repo:
bearcove/qwen3-asr-1.7b-tq6_1s-text-tq4_1s-audio
TurboQuant weight format
This checkpoint uses TurboQuant for model weights. The packed tensors are not
ordinary int4/int8 matrices, and the 1S suffix is part of the stored basis.
Quantized linear weights are divided into 32-value blocks. For each block:
- The 32 source values are transformed with a fixed signed 32-lane
Walsh-Hadamard rotation.
- The rotated block is split into two 16-value halves.
- Each half gets its own fp16 scale.
- Each rotated value is represented by the nearest entry in a fixed,
non-uniform centroid table.
- The file stores the two fp16 scales plus packed centroid indices.
For TQ6_1S, each 32-weight block is stored as 4 bytes of scales plus 24 bytes
of 6-bit centroid indices, for 28 bytes total. For TQ4_1S, each 32-weight
block is stored as 4 bytes of scales plus 16 bytes of 4-bit centroid indices,
for 20 bytes total.
Dequantization reconstructs the rotated values as scale * centroid, then
applies the inverse signed rotation to return to the normal weight basis. A
runtime that reads these weights must implement that inverse transform; treating
the packed bytes as plain affine int4/int6 weights will produce incorrect
results.
Safetensors layout
model.safetensors includes both packed TurboQuant tensors and passthrough
BF16 tensors. The quantized payloads are stored as U8 tensors, and the
safetensors metadata contains a turboquant.index entry describing the
quantized weights and their formats.
Text linear weights use split tensors:
<weight>.scales: packed fp16 scale bytes<weight>.qs: packed centroid-index bytes
Audio linear weights use packed block tensors:
<weight>.blocks: interleaved scale and centroid-index bytes
Parameters that are not quantized, such as normalization weights and other
non-linear or structural tensors, remain in their upstream dtype where
applicable.
License
This quantized checkpoint is distributed under the same license as the upstream
Qwen3-ASR model: Apache License 2.0.
References
Links
- Quantized model repository:
bearcove/qwen3-asr-1.7b-tq6_1s-text-tq4_1s-audio
- Upstream Qwen organization:
Qwen
Acknowledgements
This checkpoint is a quantized derivative of Qwen3-ASR. All credit for the
upstream model architecture, training, tokenizer, processor configuration, and
model card belongs to the Qwen team.
