Jotakak

Complete checkpoint with global LoRA already merged, followed by bitsandbytes NF4 quantization with double quantization and BF16 compute. No separate adapter is required. lmhead is excluded from quantization; existing quantization coverage of the other components is preserved. Corresponding merged BF16 checkpoint. The existing quantized weights are retained: recomputing NF4 from the matching merged BF16 checkpoint verified all 2,792 serialized tensors as identical. Use the Emomni-v1 code: The custom model is loaded by src.modelingemomni.EmomniModel, rather than the generic AutoModelForCausalLM loader. Local text/audio loading and generation were checked. These checks are not a new quality…

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: The custom model is loaded by src.modelingemomni.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…

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. The global-LoRA checkpoint is now distributed with its adapters already merged. Use the Emomni-v1 code: The custom model is loaded by src.modelingemomni.EmomniModel, rather than the generic AutoModelForCausalLM loader. The original export verified all 543 saved tensors and matching text/audio greedy outputs after reloading. These checks verify checkpoint serialization; they are not a new quality benchmark.

Complete checkpoint with global LoRA already merged, followed by bitsandbytes NF4 quantization with double quantization and BF16 compute. No separate adapter is required. lmhead is excluded from quantization; existing quantization coverage of the other components is preserved. Corresponding merged BF16 checkpoint. This release is freshly quantized from the matching merged BF16 checkpoint, replacing the earlier quantized snapshot from a different checkpoint. Use the Emomni-v1 code: The custom model is loaded by src.modelingemomni.EmomniModel, rather than the generic AutoModelForCausalLM loader. Local text/audio loading and generation were checked. These checks are not a new quality benchmark.