---
base_model: zeroentropy/zembed-1
language: en
license: apache-2.0
tags:
- quantized
- 4bit
- bnb
- transformers
model_name: zembed-1-bnb-4bit-nf4
---

# zembed-1 (Quantized)

## Description
This model is a 4-bit quantized version of the original [`zeroentropy/zembed-1`](https://huggingface.co/zeroentropy/zembed-1) 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**: 8044.94 MB (BFLOAT16)
- **Quantized Footprint**: 2594.96 MB (UINT8)
- **Memory Reduction**: 67.7%

## Usage
```python
from transformers import AutoModel, AutoTokenizer

model_name = "zembed-1-bnb-4bit-nf4"
model = AutoModel.from_pretrained(
    "manu02/zembed-1-bnb-4bit-nf4",
)
tokenizer = AutoTokenizer.from_pretrained("manu02/zembed-1-bnb-4bit-nf4", use_fast=True)
```