360Zhinao 1.8B Reranking by qihoo360

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  Autotrain compatible   Custom code   Model-index   Mteb   Pytorch   Qihoo360   Rag-reranking   Region:us   Zhinao   奇虎360

360Zhinao 1.8B Reranking Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
360Zhinao 1.8B Reranking (qihoo360/360Zhinao-1.8B-Reranking)

360Zhinao 1.8B Reranking Parameters and Internals

Model Type 
Reranking
Additional Notes 
The model uses a unidirectional generative approach to perform discriminative tasks effectively.
Input Output 
Performance Tips:
Installing flash-attention is recommended if your GPU supports fp16 or bf16 precision to improve runtime efficiency and reduce memory usage.
LLM Name360Zhinao 1.8B Reranking
Repository 🤗https://huggingface.co/qihoo360/360Zhinao-1.8B-Reranking 
Model Size1.8b
Required VRAM3.8 GB
Updated2025-02-22
Maintainerqihoo360
Model Typezhinao
Model Files  3.8 GB   0.0 GB
Model ArchitectureZhinaoForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassZhinaoTokenizer
Vocabulary Size158464
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227