What are the hardware requirements for Text2table?

Text2table requires approximately 5.7 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Text2table and how large is it?

Text2table is developed by gretelai, a model with 3b parameters. 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 Text2table?

Text2table is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Text2table by gretelai — VRAM 5.7GB, 2K context

Name: Text2table
Author: gretelai

Text2table is an open-source language model by gretelai. Features: 3b LLM, VRAM: 5.7GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.07.

Endpoints compatible Gpt neox Instruct Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/gretelai/text2table

Text2table Parameters and Internals

Model Type

text-to-table

Training Details

Data Sources:

OpenAI

Data Volume:

~2k training samples

Methodology:

Fine-tuning

Training Time:

100 epochs

Hardware Used:

8 A100 80GB GPUs

Input Output

Input Format:

PROMPT_FOR_GENERATION_FORMAT with instruction and response keys

Accepted Modalities:

text

Output Format:

Generated table

LLM Name	Text2table
Repository 🤗	https://huggingface.co/gretelai/text2table
Model Size	3b
Required VRAM	5.7 GB
Updated	2026-08-03
Maintainer	gretelai
Model Type	gpt_neox
Instruction-Based	Yes
Model Files	5.7 GB
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.0.dev0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	float32

Rank the Text2table 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

Best Alternatives to Text2table

Best Alternatives	Context / RAM	Downloads	Likes
Stablecode Instruct Alpha 3B	4K / 6.1 GB	2	304
...ama INCITE Chat Instruct 3B V1	2K / 5.5 GB	55	1
... Instruction Tuning With GPT 4	2K / 5.7 GB	134	3
Koishi Instruct 3B	2K / 5.7 GB	54	3
...edPajama INCITE Instruct 3B V1	2K / 5.7 GB	280	93
...blecode Instruct Alpha 3B GPTQ	4K / 1.8 GB	10	17
...blecode Instruct Alpha 3B GPTQ	4K / 1.8 GB	5	1
...ama INCITE Instruct 3B V1 GGML	2K / 1.7 GB	8	10

Note: green Score (e.g. "73.2") means that the model is better than gretelai/text2table.