What are the hardware requirements for Oasst GPT Neox 20B 3000 Steps?

Oasst GPT Neox 20B 3000 Steps 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 Oasst GPT Neox 20B 3000 Steps and how large is it?

Oasst GPT Neox 20B 3000 Steps is developed by dvruette, 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 Oasst GPT Neox 20B 3000 Steps perform on standard benchmarks?

Oasst GPT Neox 20B 3000 Steps has the following published scores: MMLU 26.16. Compare against reference models on this page or on the LLM Explorer leaderboards.

Oasst GPT Neox 20B 3000 Steps by dvruette — VRAM 41.2GB, 2K context

Name: Oasst GPT Neox 20B 3000 Steps
Author: dvruette

Oasst GPT Neox 20B 3000 Steps is an open-source language model by dvruette. Features: 20b LLM, VRAM: 41.2GB, Context: 2K, LLM Explorer Score: 0.11, Arc: 46.4, HellaSwag: 72.1, MMLU: 26.2, GSM8K: 2.9.

Endpoints compatible Gpt neox Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/dvruette/oasst-gpt-neox-20b-3000-steps

Oasst GPT Neox 20B 3000 Steps Benchmarks

ARC: 46.42 vs 96.7 (so35)^-52%

HellaSwag: 72.08 vs 95.3 (gpt4)^-24.4%

MMLU: 26.16 vs 88.3 (so35)^-70.4%

GSM8K: 2.88 vs 96.4 (so35)^-97%

LLME Score: 0.11411

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

What is the LLM Explorer Rank (Score)

Oasst GPT Neox 20B 3000 Steps (dvruette/oasst-gpt-neox-20b-3000-steps)

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Oasst GPT Neox 20B 3000 Steps Parameters and Internals

Model Type

text generation, finetuning, contextual analysis

Use Cases

Areas:

Research, Commercial applications

Applications:

Chatbots, Content generation, Language modeling

Primary Use Cases:

Customer service chatbots, Content generation systems

Limitations:

Non-English languages, Real-time decision making

Considerations:

Models should be used in a controlled environment with oversight.

Additional Notes

Model outputs are more coherent with longer context inputs.

Supported Languages

English (High)

Training Details

Data Sources:

Publicly available datasets, Proprietary data sources

Data Volume:

200M tokens

Methodology:

Supervised fine-tuning

Context Length:

512

Training Time:

2 weeks

Hardware Used:

8x NVIDIA A100 GPUs

Model Architecture:

Transformer-based architecture

Safety Evaluation

Methodologies:

Manual review, Ethical guidelines

Findings:

Respects privacy constraints, Does not generate inappropriate content

Risk Categories:

Bias, Misinformation

Ethical Considerations:

Ensures fairness and non-bias in generated content

Responsible Ai Considerations

Fairness:

Regular bias checks are implemented.

Transparency:

Model's decision processes are logged for auditing.

Accountability:

Open Assistant is accountable for the model's outputs.

Mitigation Strategies:

Regular updates and monitoring to adjust biases.

Input Output

Input Format:

JSON formatted text prompts

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

For optimal performance, ensure input text is within 512 tokens.

Release Notes

Version:

1.0.0

Date:

2023-10-01

Notes:

Initial release with support for text generation and fine-tuning.

LLM Name	Oasst GPT Neox 20B 3000 Steps
Repository 🤗	https://huggingface.co/dvruette/oasst-gpt-neox-20b-3000-steps
Model Size	20b
Required VRAM	41.2 GB
Updated	2026-04-24
Maintainer	dvruette
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
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.26.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50288
Torch Data Type	float16

Best Alternatives to Oasst GPT Neox 20B 3000 Steps

Best Alternatives	Context / RAM	Downloads	Likes
GPT Neox 20B	2K / 40.8 GB	262596	583
GPT NeoXT Chat Base 20B	2K / 41.2 GB	1174	694
EleutherAI GPT Neox 20B 4bits	2K / 12.5 GB	8	0
...t Gm Oasst1 Multilang 1024 20B	2K / 41.2 GB	957	10
H2ogpt Oasst1 512 20B	2K / 41.2 GB	1064	39
H2ogpt Gm Oasst1 En 1024 20B	2K / 41.2 GB	967	4
GPT Neox 20B Full Precision	2K / 82.5 GB	877	0
Oasst GPT Neox 20B 1000 Steps	2K / 41.2 GB	1117	0
GPTNeoX 20B TestGen Dart V1.0	2K / 41.2 GB	10	2
GPT NeoX 20B Erebus	2K / 41.4 GB	2518	87

Note: green Score (e.g. "73.2") means that the model is better than dvruette/oasst-gpt-neox-20b-3000-steps.

Rank the Oasst GPT Neox 20B 3000 Steps Capabilities

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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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Oasst GPT Neox 20B 3000 Steps Benchmarks

Oasst GPT Neox 20B 3000 Steps Parameters and Internals

Best Alternatives to Oasst GPT Neox 20B 3000 Steps

Rank the Oasst GPT Neox 20B 3000 Steps Capabilities

What open-source LLMs or SLMs are you in search of? 54120 in total.