ColBERT-Zero (Quantized)

Description

This model is a 4-bit quantized version of the original lightonai/ColBERT-Zero 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: 596.06 MB (FLOAT32)
Quantized Footprint: 210.02 MB (UINT8)
Memory Reduction: 64.8%

Usage

from transformers import AutoModel, AutoTokenizer

model_name = "ColBERT-Zero-bnb-4bit-nf4"
model = AutoModel.from_pretrained(
    "manu02/ColBERT-Zero-bnb-4bit-nf4",
)
tokenizer = AutoTokenizer.from_pretrained("manu02/ColBERT-Zero-bnb-4bit-nf4", use_fast=True)

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Safetensors

Model size

0.2B params

Tensor type

F32

Model tree for manu02/ColBERT-Zero-bnb-4bit-nf4-dq

Base model

lightonai/ColBERT-Zero

Quantized

(9)

this model