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bling-qwen-500m-ov
llmware/bling-qwen-500m-ov
bling-qwen-500m-ov is a machine learning model from llmware. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
bling-qwen-500m-ov is an OpenVino int4 quantized version of BLING Qwen 500m, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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At a glance
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Sep 6, 2024
- Updated
- Oct 31, 2024
- SHA
- 51edef55
Base models
Model card
From the Hugging Face model README
bling-qwen-500m-ov
bling-qwen-500m-ov is an OpenVino int4 quantized version of BLING Qwen 500m, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
bling-qwen-500m is a fact-based question-answering model, optimized for complex business documents.
This is the smallest instruct trained model from the Qwen2 series, and offers reasonable accuracy given its small size. For more accurate models, select a larger model in this series.
Model Description
- Developed by: llmware
- Model type: qwen2
- Parameters: 0.5 billion
- Model Parent: llmware/bling-qwen-500m
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Fact-based question-answering
- RAG Benchmark Accuracy Score: 81.0
- Quantization: int4
Model Card Contact
- Type
- qwen2
- License
- apache-2.0
- Created
- Sep 6, 2024
- Updated
- Oct 31, 2024