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Jotakak/Emomni-v1
Emomni-v1 is a machine learning model from Jotakak. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Complete Emomni checkpoint with global LoRA merged into the model weights. The checkpoint includes its tokenizer, chat template, Whisper feature extractor, and generation configuration. No separate LoRA adapter is req…
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From the Hugging Face model README
Complete Emomni checkpoint with global LoRA merged into the model weights. The checkpoint includes its tokenizer, chat template, Whisper feature extractor, and generation configuration. No separate LoRA adapter is required.
This release replaces the earlier audio-scoped LoRA checkpoint with the global-LoRA checkpoint; it is not an equivalent merge of the earlier audio-scoped model.
Use the Emomni-v1 code:
bash scripts/run_serve.sh --model Jotakak/Emomni-v1
The custom model is loaded by src.modeling_emomni.EmomniModel, rather than
the generic AutoModelForCausalLM loader.
The original export verified all 837 saved tensors and matching text/audio greedy outputs after reloading. These checks verify checkpoint serialization; they are not a new quality benchmark.