Audio-Text-to-Text
Transformers
Safetensors
English
qwen3_omni_moe
text-to-audio
audio
speech
multimodal
reasoning
Instructions to use brgroup/BR-Voice-Reasoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brgroup/BR-Voice-Reasoner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("brgroup/BR-Voice-Reasoner") model = AutoModelForMultimodalLM.from_pretrained("brgroup/BR-Voice-Reasoner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add sanitized training manifest
Browse files- training_manifest.json +118 -0
training_manifest.json
ADDED
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| 1 |
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{
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"schema": "br-voice-reasoner-training-manifest.v2",
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"model": {
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"name": "BR-Voice-Reasoner",
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| 5 |
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"release_checkpoint": 2318,
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"format": "merged_full_weights",
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| 7 |
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"dtype": "bfloat16",
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"weight_shards": 16
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},
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"base_model": {
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"hub_id": "Qwen/Qwen3-Omni-30B-A3B-Thinking",
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"config_sha256": "e6f8c637528461398ef4e11d48b6112ce73db2458a563dfea548127c2cce253f",
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| 13 |
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"index_sha256": "13ae0b6fa947acd1ec5e163d493884724999788752b699266eb09b14ba914c90"
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},
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| 15 |
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"training": {
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"method": "OPSD fixed-teacher on-policy distillation",
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"student_initialization": "Qwen/Qwen3-Omni-30B-A3B-Thinking",
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| 18 |
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"teacher": {
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| 19 |
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"checkpoint": "Qwen/Qwen3-Omni-30B-A3B-Thinking",
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| 20 |
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"frozen": true,
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| 21 |
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"input_view": "transcript or text form of the same user request with multimodal fields removed",
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| 22 |
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"target_answer_available": false
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| 23 |
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},
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| 24 |
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"steps": 2318,
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| 25 |
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"epochs": 2,
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| 26 |
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"global_batch_size": 16,
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| 27 |
+
"learning_rate": 5e-6,
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| 28 |
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"projector_learning_rate": 1e-5,
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| 29 |
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"minimum_learning_rate": 5e-7,
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| 30 |
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"learning_rate_schedule": "cosine",
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| 31 |
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"warmup_fraction": 0.03,
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| 32 |
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"seed": 20260819,
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| 33 |
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"loss": {
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"beta": 0.5,
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| 35 |
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"lambda": 1.0,
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| 36 |
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"sft_alpha": 0.0,
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| 37 |
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"temperature": 1.2,
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| 38 |
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"teacher_logits_topk": 128
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},
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| 40 |
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"rollout": {
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"source": "student on-policy",
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"thinking": true,
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| 43 |
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"maximum_completion_tokens": 2048
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| 44 |
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},
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| 45 |
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"trainable_modules": [
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"thinker.audio_tower.proj1",
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| 47 |
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"thinker.audio_tower.proj2"
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| 48 |
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],
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| 49 |
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"frozen_components": "all other language-model, audio-encoder, and vision-encoder weights",
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| 50 |
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"capability_retention_mechanism": "parameter isolation",
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| 51 |
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"optimization_scope_note": "Text-only rows do not update the trainable audio projection modules and are not claimed as a capability-retention mechanism."
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| 52 |
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},
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| 53 |
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"training_population": {
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| 54 |
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"rows": 32965,
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| 55 |
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"audio_rows": 25454,
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| 56 |
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"text_only_rows": 7511,
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| 57 |
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"source_order": "fixed V6-ad order",
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| 58 |
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"expanded_or_filtered": false,
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| 59 |
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"branches": {
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| 60 |
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"ifeval": 6675,
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| 61 |
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"mmsu": 6844,
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| 62 |
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"retention_instruction_following": 615,
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| 63 |
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"retention_knowledge_mcq": 1590,
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| 64 |
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"retention_open_response": 3696,
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| 65 |
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"retention_reasoning": 968,
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| 66 |
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"retention_safety_alignment": 642,
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| 67 |
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"sdqa": 11935
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| 68 |
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},
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| 69 |
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"prompt_only_data_sha256": "d32549b279697d72964e167466b297d67f1ac3de84a728d285d92c09bbc034a8",
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| 70 |
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"provenance_sha256": "88e89b8905f0f89c5d1fd3b1915fc6e5d58416277f7da48c59a08ff19065145e"
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| 71 |
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},
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| 72 |
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"merge": {
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| 73 |
+
"adapter_checkpoint_sha256": "6bb566463abf4d44730779a4cb8231fc39b733a7aba48f4d29971deecb3d95e7",
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| 74 |
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"replacement_semantics": "complete_parameter_replacement",
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| 75 |
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"compute_dtype": "float32",
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| 76 |
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"output_dtype": "preserve_base_tensor_dtype",
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| 77 |
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"changed_parameters": [
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| 78 |
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"thinker.audio_tower.proj1.bias",
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| 79 |
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"thinker.audio_tower.proj1.weight",
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"thinker.audio_tower.proj2.bias",
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"thinker.audio_tower.proj2.weight"
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],
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| 83 |
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"lora_delta_parameters": 0
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},
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| 85 |
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"evaluation": {
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| 86 |
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"date_utc": "2026-09-02",
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| 87 |
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"benchmark": "VoiceBench",
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| 88 |
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"protocol_file": "evaluation_protocol.json",
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| 89 |
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"empty_generation_recovery": {
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| 90 |
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"evaluated_samples": 7783,
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| 91 |
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"samples_entering_seed_fallback": 5,
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| 92 |
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"samples_recovered": 4,
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| 93 |
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"samples_exhausted_and_counted_incorrect": 1,
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| 94 |
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"selection": "first non-empty result; no ranking or best-of selection"
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},
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| 96 |
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"model_judge": {
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| 97 |
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"model": "openai/gpt-4o-mini",
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| 98 |
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"model_kind": "alias",
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| 99 |
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"accessed_utc": "2026-09-02",
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| 100 |
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"gateway": "OpenRouter",
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| 101 |
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"upstream_provider_only": "OpenAI",
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| 102 |
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"judgments_per_sample": 3
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},
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| 104 |
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"nine_subset_mean": 90.4613,
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| 105 |
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"non_sdqa_eight_subset_mean": 92.4787,
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| 106 |
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"sdqa_gpt4o_mini_majority": {
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| 107 |
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"score": 74.3219,
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| 108 |
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"correct": 411,
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| 109 |
+
"total": 553,
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| 110 |
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"votes": 3
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| 111 |
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},
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| 112 |
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"mmsu": {
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| 113 |
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"score": 85.6539,
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| 114 |
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"correct": 2633,
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| 115 |
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"total": 3074
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| 116 |
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}
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| 117 |
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}
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| 118 |
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}
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