Natural Language To Cypher 2.7B by Mondhirch

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Natural Language To Cypher 2.7B is an open-source language model by Mondhirch. Features: 2.7b LLM, VRAM: 5.6GB, Context: 2K, LLM Explorer Score: 0.12.

  Arxiv:1910.09700   Custom code   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow

Natural Language To Cypher 2.7B Benchmarks

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

Natural Language To Cypher 2.7B Parameters and Internals

LLM NameNatural Language To Cypher 2.7B
Repository 🤗https://huggingface.co/Mondhirch/Natural-Language-to-Cypher-2.7b 
Model Size2.7b
Required VRAM5.6 GB
Updated2026-03-29
MaintainerMondhirch
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitecturePhiForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.38.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Mondhirch/Natural-Language-to-Cypher-2.7b.

Rank the Natural Language To Cypher 2.7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20260328a