Downloads · 30 days
13
14% of all-time downloads
pplx-embed-v1-0.6b-bnb-4bit-nf4-dq
manu02/pplx-embed-v1-0.6b-bnb-4bit-nf4-dq
pplx-embed-v1-0.6b-bnb-4bit-nf4-dq is a feature extraction model from manu02. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a 4-bit quantized version of the original perplexity-ai/pplx-embed-v1-0.6b model, optimized for reduced memory usage while maintaining performance.
All-time downloads
92
Public
Parameters
610M
862 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors850 MB · 99%
Parameter types
How the weights are stored.
U8454M · 74%
Base models
Model card
From the Hugging Face model README
pplx-embed-v1-0.6b (Quantized)
Description
This model is a 4-bit quantized version of the original perplexity-ai/pplx-embed-v1-0.6b 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: 2384.20 MB (FLOAT32)
- Quantized Footprint: 842.79 MB (UINT8)
- Memory Reduction: 64.7%
Usage
from transformers import AutoModel, AutoTokenizer
model_name = "pplx-embed-v1-0.6b-bnb-4bit-nf4"
model = AutoModel.from_pretrained(
"manu02/pplx-embed-v1-0.6b-bnb-4bit-nf4",
)
tokenizer = AutoTokenizer.from_pretrained("manu02/pplx-embed-v1-0.6b-bnb-4bit-nf4", use_fast=True)
- Task
- Feature Extraction
- Library
- transformers
- Type
- bidirectional_pplx_qwen3
- License
- apache-2.0
- Languages
- en
- Created
- Mar 1, 2026
- Updated
- Mar 1, 2026