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testing_repo_name
medmekk/testing_repo_name
testing_repo_name is a machine learning model from medmekk. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a quantized version of the original model medmekk/testingreponame. It has been quantized using int4weightonly quantization with torchao.
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At a glance
- Model type
- llama
- Access
- Public
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024
- SHA
- 57362235
Model card
From the Hugging Face model README
medmekk/testing_repo_name (Quantized)
Description
This model is a quantized version of the original model medmekk/testing_repo_name. It has been quantized using int4_weight_only quantization with torchao.
Quantization Details
- Quantization Type: int4_weight_only
- Group Size: 128
Usage
You can use this model in your applications by loading it directly from the Hugging Face Hub:
from transformers import AutoModel
model = AutoModel.from_pretrained("medmekk/testing_repo_name")
- Type
- llama
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024