DEVELOPER REFERENCE · VERIFIED MODEL EVIDENCE
inclusionAI
Compare 4 source-verified model records, repository licenses, published weight formats and dated evidence. No overall model ranking.
DIRECT ANSWER · SOURCE-OBSERVED REGISTRY
What inclusionAI model evidence is available?
Open Model Weights currently tracks 4 field-verified inclusionAI model records. In this indexed sample, the recorded modalities are 1 Audio and text → text or optional audio; 1 Audio and text → text or optional synthesized speech; 1 Audio → transcribed text; 1 Text and optional voice reference → speech audio. The published repository license labels include 4 mit. The listed weight formats include Safetensors (4), ONNX (3).
Coverage describes the model repositories indexed here, not every model released by the publisher. A checked source, an unknown field and an unchanged source revision are different states. No missing value is treated as a negative answer.
FIELD-BY-FIELD COMPARISON · PRIMARY LINKS
Model evidence at a glance.
Compare the exact entries in our registry. Parameter values are taken from the source-checked record; a license label is not a legal opinion, and recognized weight files are not an inference-speed benchmark. Open each record for the underlying citations and observed history.
| Model and parameter count | Modality | License evidence | Formats and files | Source and history |
|---|---|---|---|---|
| Ming 3.0 TTS Tiny7.9B total / 1.3B active (publisher-declared) published parameters | Text and optional voice reference → speech audio | mitallowed commercial-use classificationInspect license evidence → | ONNX, Safetensors32 files | Repository ↗Model evidence →History → |
| Ming 3.0 Audio Tiny9.3B total / 2.7B active (publisher-declared) published parameters | Audio and text → text or optional synthesized speech | mitallowed commercial-use classificationInspect license evidence → | ONNX, Safetensors6 files | Repository ↗Model evidence →History → |
| Ming 3.0 ASR Tiny9B total (publisher-declared) published parameters | Audio → transcribed text | mitallowed commercial-use classificationLicense file ↗ | Safetensors3 files | Repository ↗Model evidence →History → |
| Ming 3.0 Audio Flash126B total / 6.5B active (publisher-declared) published parameters | Audio and text → text or optional audio | mitallowed commercial-use classificationInspect license evidence → | ONNX, Safetensors29 files | Repository ↗Model evidence →History → |
Compare two to four models →Explore weight memory →Browse observed history →
LICENSE & COVERAGE · NOT LEGAL ADVICE
How do the recorded licenses differ?
Different models from the same developer can use different license terms. The distribution below describes the labels and field-level classifications observed in the listed repositories; it does not automatically establish permissions for a specific deployment.
License labels
- mit4 of 4
Commercial-use classifications
- allowed4 of 4
Model modalities
- Audio and text → text or optional audio1 of 4
- Audio and text → text or optional synthesized speech1 of 4
- Audio → transcribed text1 of 4
- Text and optional voice reference → speech audio1 of 4
A classification of unknown is not a prohibition. Even a recognized permissive license can carry conditions. Review the license for the exact model and revision. Open the license explorer →
EVIDENCE METHOD · TRANSPARENT LIMITS
How this developer profile is assembled.
We aggregate the current source-checked model records, rather than publish an unverified corporate biography. Repository metadata, model cards, license files and recognized weight artifacts supply the facts where available. The record-check date does not assert that a model or its license changed on that date.
Source-derived runtime signals are not hardware benchmarks. Weight-only memory estimates omit runtime overhead, activations and other deployment requirements. Model-specific uncertainties remain visible in the individual evidence records.
Evidence policy →Full methodology →Independent measurements →
QUESTIONS · DIRECT ANSWERS
Frequently asked questions about inclusionAI models.
Which inclusionAI models are covered?
Open Model Weights currently lists 4 field-verified records for inclusionAI. Their recorded model modalities are: 1 Audio and text → text or optional audio; 1 Audio and text → text or optional synthesized speech; 1 Audio → transcribed text; 1 Text and optional voice reference → speech audio. This is a registry sample, not an exhaustive publisher catalog.
Which licenses are recorded for inclusionAI models?
In the 4 indexed records, repository license labels are: 4 mit. License labels do not replace the model-specific terms or establish rights for every use case.
Where can I verify inclusionAI model information?
Each indexed model links to its official source repository and a field-level Open Model Weights profile. The most recent record checks shown here reach 2026-10-21; checking a repository does not imply that its contents changed.
COMPLETE INDEXED SELECTION