MioTTS-2.6B (Quantized)

Description

This model is a 4-bit quantized version of the original Aratako/MioTTS-2.6B model, optimized for reduced memory usage while maintaining performance.

Quantization Details

  • Quantization Type: 4-bit
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: True
  • bnb_4bit_compute_dtype: bfloat16
  • bnb_4bit_quant_storage: uint8
  • Original Footprint: 5186.78 MB (BFLOAT16)
  • Quantized Footprint: 1534.59 MB (UINT8)
  • Memory Reduction: 70.4%

Usage

from transformers import AutoModel, AutoTokenizer

model_name = "MioTTS-2.6B-bnb-4bit-nf4"
model = AutoModel.from_pretrained(
    "manu02/MioTTS-2.6B-bnb-4bit-nf4",
)
tokenizer = AutoTokenizer.from_pretrained("manu02/MioTTS-2.6B-bnb-4bit-nf4", use_fast=True)
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Model size
3B params
Tensor type
F32
·
BF16
·
U8
·
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