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nvidia/Nemotron-Labs-Audex-30B-A3B
at exact revision 00f0afa02e8ec0a9afc88221e456a02591bfca4c.nemotron_h_audex1let input = UserInput(
2 chat: [
3 .user(
4 "Transcribe the speech accurately.",
5 audios: [.url(audioURL)])
6 ],
7 additionalContext: ["enable_thinking": false]
8)<think></think> instruct path. It is not a
modified model default, forced close token, prompt rewrite, or sampler guard.enable_thinking omitted, representative 2B
and 30B rows stopped after emitting the transcription inside an unclosed
reasoning channel. The production stream reported 195-196 reasoning characters
and zero visible characters. Default-thinking audio is therefore not claimed
as passing. Hosts should expose the instruct choice explicitly and keep that
thinking-mode row marked partial.1temperature = 0.6
2top_p = 1.0
3top_k = 0
4min_p = 0.0
5repetition_penalty = nil1hf download OsaurusAI/Nemotron-Labs-Audex-30B-A3B-4bit \
2 --local-dir ~/models/OsaurusAI/Nemotron-Labs-Audex-30B-A3B-4bit1python3 scripts/verify-audex-bundle.py \
2 ~/models/OsaurusAI/Nemotron-Labs-Audex-30B-A3B-4bit \
3 --expect-bits 4 \
4 --source /path/to/Nemotron-Labs-Audex-30B-A3B/checkpoint_folder_full--source, it also compares every audio tensor's dtype, shape, and raw
data SHA-256 to the exact source snapshot; that stronger mode passed before
this repository was uploaded.time_step_limit: [0.0, Infinity] field is omitted because bare Infinity is not strict JSON. The native Nemotron-H configuration applies the equivalent [0.001, +infinity] runtime default.
No prefix/paged/L2-disk/TurboQuant-KV hit is claimed by this release row. A
future cache claim must include counters, coherent post-hit output, and—for the
30B family—the exact Mamba companion-state restore boundary.| Surface | Status |
|---|---|
| Text plus audio -> text | Proven in explicit instruct mode |
| Growing audio conversation -> text | Proven in explicit instruct mode |
| Default-thinking audio -> visible text | Failed representative row |
| Image/video input | Unsupported by this wrapper |
| Batch size greater than one | Unsupported; use batch size 1 |
| Text-to-speech output | Not implemented in this Swift runtime |
| Text-to-audio output | Not implemented in this Swift runtime |
| Speech-to-speech audio output | Not implemented in this Swift runtime |
1{
2 "format": "vmlx-affine-audex",
3 "source_model": "nvidia/Nemotron-Labs-Audex-30B-A3B",
4 "source_revision": "00f0afa02e8ec0a9afc88221e456a02591bfca4c",
5 "source_model_type": "nemotron_h_audex",
6 "quantization": {
7 "method": "affine",
8 "bits": 4,
9 "group_size": 64,
10 "language_decoder": "quantized",
11 "audio_encoder": "source_precision",
12 "audio_projector": "source_precision"
13 },
14 "conversion_counts": {
15 "affine_simple_tensors": 118,
16 "affine_expert_groups": 46,
17 "passthrough_tensors": 727,
18 "dropped_runtime_unused_tensors": 0
19 },
20 "weight_shards": 26,
21 "weight_bytes": 19306435800,
22 "config_normalizations": [
23 {
24 "field": "time_step_limit",
25 "source_value": [
26 "0.0",
27 "Infinity"
28 ],
29 "output": "omitted",
30 "runtime_semantics": "NemotronHConfiguration defaults to [0.001, +infinity]",
31 "reason": "strict JSON does not permit non-finite numeric literals"
32 }
33 ]
34}nvidia/Nemotron-Labs-Audex-30B-A3B의 MLX affine 4비트 양자화입니다.
언어 디코더만 양자화했고 NV-Whisper 오디오 인코더와 오디오 프로젝터는
원본 정밀도를 유지합니다. enable_thinking=false를 명시한 instruct 모드에서
실제 음성 전사와 3턴 대화가 통과했습니다. 기본 thinking 모드는 reasoning
채널을 닫지 않아 화면에 표시할 답변이 비어 있으므로 아직 부분 지원입니다.
현재 Swift 런타임은 오디오 입력과 텍스트 출력만 지원하며 이미지, 비디오,
TTS, 텍스트-오디오 출력은 지원한다고 주장하지 않습니다.LICENSE.txt and
the source-family license/ directory are included. Review
license/THIRD_PARTY_NOTICES.md before redistribution or deployment.