38 lines
1.0 KiB
Markdown
38 lines
1.0 KiB
Markdown
---
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base_model: zeroentropy/zembed-1
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language: en
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license: apache-2.0
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tags:
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- quantized
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- 4bit
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- bnb
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- transformers
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model_name: zembed-1-bnb-4bit-nf4
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---
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# zembed-1 (Quantized)
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## Description
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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.
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## Quantization Details
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- **Quantization Type**: 4-bit
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- **bnb_4bit_quant_type**: nf4
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- **bnb_4bit_use_double_quant**: True
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- **bnb_4bit_compute_dtype**: bfloat16
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- **bnb_4bit_quant_storage**: uint8
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- **Original Footprint**: 8044.94 MB (BFLOAT16)
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- **Quantized Footprint**: 2594.96 MB (UINT8)
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- **Memory Reduction**: 67.7%
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## Usage
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```python
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from transformers import AutoModel, AutoTokenizer
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model_name = "zembed-1-bnb-4bit-nf4"
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model = AutoModel.from_pretrained(
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"manu02/zembed-1-bnb-4bit-nf4",
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)
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tokenizer = AutoTokenizer.from_pretrained("manu02/zembed-1-bnb-4bit-nf4", use_fast=True)
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```
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