What are the hardware requirements for GPT NeoXT Chat Base 20B?

GPT NeoXT Chat Base 20B requires approximately 41.2 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 GPT NeoXT Chat Base 20B and how large is it?

GPT NeoXT Chat Base 20B is developed by togethercomputer, a model with 20b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GPT NeoXT Chat Base 20B perform on standard benchmarks?

GPT NeoXT Chat Base 20B has the following published scores: MMLU 29.92. Compare against reference models on this page or on the LLM Explorer leaderboards.

GPT NeoXT Chat Base 20B by togethercomputer — VRAM 41.2GB, 2K context

Name: GPT NeoXT Chat Base 20B
Author: togethercomputer

GPT NeoXT Chat Base 20B is an open-source language model by togethercomputer. Features: 20b LLM, VRAM: 41.2GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 45.7, HellaSwag: 74, MMLU: 29.9, GSM8K: 6.9.

En Endpoints compatible Gpt neox Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/togethercomputer/GPT-NeoXT-Chat-Base-20B

GPT NeoXT Chat Base 20B Parameters and Internals

Model Type

Language Model

Use Cases

Areas:

Research

Applications:

Research on dialogue models or language models, Applications in educational or creative tools

Limitations:

Not suitable for safety-critical applications

Considerations:

Out-of-scope use includes safety-critical applications or decisions impacting individuals or society.

Additional Notes

The model is open source and feedback is encouraged to improve accuracy and performance.

Supported Languages

English (Primary)

Training Details

Data Sources:

Together partnered with LAION, Ontocord.ai

Data Volume:

43 million high-quality instructions

Methodology:

Fine-tuned with over 40 million instructions on 100% carbon negative compute

Hardware Used:

2 x 8 x A100 GPUs

Input Output

Accepted Modalities:

text

Output Format:

text

LLM Name	GPT NeoXT Chat Base 20B
Repository 🤗	https://huggingface.co/togethercomputer/GPT-NeoXT-Chat-Base-20B
Model Size	20b
Required VRAM	41.2 GB
Updated	2026-07-20
Maintainer	togethercomputer
Model Type	gpt_neox
Model Files	9.9 GB: 1-of-5 9.8 GB: 2-of-5 9.7 GB: 3-of-5 9.7 GB: 4-of-5 2.1 GB: 5-of-5
Supported Languages	en
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.21.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	float16

Rank the GPT NeoXT Chat Base 20B 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 GPT NeoXT Chat Base 20B

Best Alternatives	Context / RAM	Downloads	Likes
GPT Neox 20B	2K / 40.8 GB	794665	583
EleutherAI GPT Neox 20B 4bits	2K / 12.5 GB	8	0
H2ogpt Oasst1 512 20B	2K / 41.2 GB	1064	39
...t Gm Oasst1 Multilang 1024 20B	2K / 41.2 GB	140	10
H2ogpt Gm Oasst1 En 1024 20B	2K / 41.2 GB	55	4
GPT Neox 20B Full Precision	2K / 82.5 GB	52	0
Oasst GPT Neox 20B 1000 Steps	2K / 41.2 GB	75	0
Oasst GPT Neox 20B 3000 Steps	2K / 41.2 GB	60	0
GPTNeoX 20B TestGen Dart V1.0	2K / 41.2 GB	5	2
GPT NeoX 20B Erebus	2K / 41.4 GB	576	88

Note: green Score (e.g. "73.2") means that the model is better than togethercomputer/GPT-NeoXT-Chat-Base-20B.