What are the hardware requirements for Text2cypher Demo 16bit Gguf?

Text2cypher Demo 16bit Gguf requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Text2cypher Demo 16bit Gguf and how large is it?

Text2cypher Demo 16bit Gguf is developed by tomasonjo. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Text2cypher Demo 16bit Gguf?

Text2cypher Demo 16bit Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Text2cypher Demo 16bit Gguf by tomasonjo — VRAM 16.1GB

Name: Text2cypher Demo 16bit Gguf
Author: tomasonjo

Text2cypher Demo 16bit Gguf is an open-source language model by tomasonjo. Features: LLM, VRAM: 16.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

16bit Base model:quantized:tomasonjo... Base model:tomasonjo/text2cyph... Conversational Dataset:tomasonjo/text2cypher-... En Endpoints compatible Gguf Llama Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/tomasonjo/text2cypher-demo-16bit-gguf

Text2cypher Demo 16bit Gguf Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This model was developed by tomasonjo and is fine-tuned from the 'tomasonjo/text2cypher-demo-16bit' model.

Training Details

Data Sources:

tomasonjo/text2cypher-gpt4o-clean

Methodology:

Trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Text2cypher Demo 16bit Gguf
Repository 🤗	https://huggingface.co/tomasonjo/text2cypher-demo-16bit-gguf
Base Model(s)	Text2cypher Demo 16bit tomasonjo/text2cypher-demo-16bit
Required VRAM	16.1 GB
Updated	2026-08-03
Maintainer	tomasonjo
Model Type	llama
Model Files	16.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|16bit
Model Architecture	AutoModel
License	apache-2.0

Rank the Text2cypher Demo 16bit Gguf capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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Note: green Score (e.g. "73.2") means that the model is better than tomasonjo/text2cypher-demo-16bit-gguf.