Status
This repository contains the selected LoRA adapter and its reviewed release
metadata. The public base-model ID, immutable revision, and derivative-license
terms are verified. The corrected staging configuration passes full
tensor-shape checks and sampled exact-merge reconstruction. Complete private
repository verification and document the public MS-SWIFT bridge loading
procedure before the first public release.
Model Description
The model converts a video-generation request plus ordered image, video, and
audio evidence into a MiniMax-H3 Context-IR prompt. Audio waveforms are not
passed directly to the IR model. They are first converted into structured
timeline text containing transcripts, timestamps, speakers, sound events, and
music descriptions.
- Base model:
Qwen/Qwen3.6-27B
- Base revision:
6a9e13bd6fc8f0983b9b99948120bc37f49c13e9
- Base-model license: Apache-2.0
- Method: LoRA
- Rank: 16
- Alpha: 32
- Dropout: 0.05
- Learning rate: 0.0001
- Training epochs: 2
- Selected checkpoint step: 478
- Selection key:
candidate_audio_text_incremental1200_plus56_lora_lr0p0001_step478
- Adapter size: 233,607,432 bytes
- Adapter SHA-256:
3ec7ad70243c27b7c5442eb7b548550d6aaa242915444edea7d1eb75830d3142
The training runtime used MS-SWIFT 4.1.3 at revision
c6875ef6a962e83f01138bb239b5fb4e5e55b37f and the recorded container image
digest sha256:e2a893217186f27dcc6899a53c71d1264b55e362f37268404e2244fd9946149c.
The lower validation-loss run was not automatically selected. Candidates first
had to pass 153-case strict format and reference-coverage gates, then were
ranked by blinded semantic evaluation with deterministic tie-breaks. The locked
test set was not used for model selection.
Evaluation
Table with columns: Evaluation, Samples, Strict valid, Full reference coverage, Teacher similarity| Evaluation | Samples | Strict valid | Full reference coverage | Teacher similarity |
|---|
| Candidate validation | 153 | 153 (100%) | 153 (100%) | 0.47899 |
| Locked test | 100 | 95 (95%) | 95 (95%) | 0.48005 |
The 153-case results are selection-time validation metrics. The locked test is
the better estimate of residual format and reference failures and must be shown
alongside them. Aggregate source data is in evaluation/.
Limitations
- Five locked-test cases failed the strict format or reference contract.
- The model depends on upstream audio transcription and description quality.
- It does not acquire a native audio waveform encoder through this training.
- Official Context-IR labels are not assumed to be error-free ground truth.
- The training checkpoint's generated adapter configuration does not encode
the verified public base-model ID or exact revision. The release staging
copy must add both values without altering the hash-recorded source file.
- Stock Transformers 4.57.1 does not recognize the base model's
qwen3_5
architecture. Training and export used MS-SWIFT's Megatron mcore_bridge;
a public adapter loading/export procedure for that runtime is still needed.
- Downstream H3 video quality depends on the H3 backend, sampling parameters,
media inputs, and prompt length in addition to IR quality.
License and Release Gate
Repository code and the verified base model are Apache-2.0. Before publishing
the adapter, verify the reviewed staging files in a private Hub repository and
document a reproducible MS-SWIFT bridge loading/export procedure. The current
staging adapter matches all 496 base target modules by shape. A sample covering
all 12 module types reconstructs the historical merged BF16 weights exactly.