---
license: apache-2.0
tags:
  - vllm-omni
  - audiox
  - test-fixture
---

# AudioX random / test fixture

A tiny **random-init** bundle of [vLLM-Omni](https://github.com/vllm-project/vllm-omni)'s
`AudioXPipeline`. Used by the L1/L2 `core_model` CI tests
(`tests/e2e/offline_inference/test_audiox_model.py`,
`tests/e2e/online_serving/test_audiox_online.py`) so they can verify the full
pipeline (load → forward → trim → return numpy WAV) end-to-end without paying
the cost of the real ~11 GB checkpoint.

It follows the same `config.json` schema as
[`zhangj1an/AudioX`](https://huggingface.co/zhangj1an/AudioX), but with much
smaller transformer dimensions:

- `embed_dim`: 1536 → 384
- `depth`: 24 → 4
- `num_heads`: 24 → 6
- `gate_type_config.num_experts_per_modality`: 64 → 16
- `gate_type_config.num_fusion_layers`: 8 → 2
- `sample_size`: 485100 → 483328 (still gives `latent_len = sample_size // 2048 = 236`,
  matching the transformer's RoPE precompute)

All weights are random, fp16, generated by running the `AudioXPipeline.__init__`
with the small config and dumping its `state_dict()` with the bundle's legacy
naming convention. **Do not use for actual generation** — outputs are noise.