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Text To Cypher by diegomiranda

 »  All LLMs  »  diegomiranda  »  Text To Cypher   URL Share it on

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  Autotrain compatible   En   Gpt   Gpt neox   H2o-llmstudio   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/diegomiranda/text-to-cypher 

Text To Cypher Benchmarks

LLME Score: 0.10615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Text To Cypher (diegomiranda/text-to-cypher)
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Text To Cypher Parameters and Internals

Model Type 
text generation
Additional Notes 
The large language model is trained on a diverse range of internet text data, which may contain biased, racist, offensive, or otherwise inappropriate content. It may produce incorrect or irrelevant responses, and users must critically evaluate the output.
Training Details 
Data Sources:
internet text data
Model Architecture:
GPTNeoXForCausalLM
Input Output 
Performance Tips:
For better performance, it's recommended to run the model on a machine with GPUs.
LLM NameText To Cypher
Repository 🤗https://huggingface.co/diegomiranda/text-to-cypher 
Model Size70m
Required VRAM0.1 GB
Updated2025-08-18
Maintainerdiegomiranda
Model Typegpt_neox
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than diegomiranda/text-to-cypher.

Rank the Text To Cypher Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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