What are the hardware requirements for Pythia 6.9B Deduped?

Pythia 6.9B Deduped requires approximately 13.8 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 Pythia 6.9B Deduped and how large is it?

Pythia 6.9B Deduped is developed by EleutherAI, a model with 6.9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Pythia 6.9B Deduped perform on standard benchmarks?

Pythia 6.9B Deduped has the following published scores: MMLU 26.48. Compare against reference models on this page or on the LLM Explorer leaderboards.

Pythia 6.9B Deduped by EleutherAI — VRAM 13.8GB, 2K context

Name: Pythia 6.9B Deduped
Author: EleutherAI

Pythia 6.9B Deduped is an open-source language model by EleutherAI. Features: 6.9b LLM, VRAM: 13.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.13, Arc: 41.3, HellaSwag: 67.1, MMLU: 26.5, GSM8K: 1.7.

Arxiv:2101.00027 Arxiv:2201.07311 Arxiv:2304.01373 Dataset:eleutherai/the pile de... En Endpoints compatible Gpt neox Pythia Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/EleutherAI/pythia-6.9b-deduped

Pythia 6.9B Deduped Parameters and Internals

Model Type

Transformer-based Language Model

Use Cases

Areas:

Research

Applications:

Interpretability research

Primary Use Cases:

Scientific experiments on language models, Promoting interpretability research

Limitations:

Not suitable for deployment, Not suitable for translation or generating text in languages other than English

Considerations:

Please conduct your own risk and bias assessment when applying the model.

Additional Notes

Please note that all models in the *Pythia* suite were renamed in January 2023.

Training Details

Data Sources:

EleutherAI/the_pile_deduplicated

LLM Name	Pythia 6.9B Deduped
Repository 🤗	https://huggingface.co/EleutherAI/pythia-6.9b-deduped
Model Size	6.9b
Required VRAM	13.8 GB
Updated	2026-07-28
Maintainer	EleutherAI
Model Type	gpt_neox
Model Files	9.9 GB: 1-of-2 3.9 GB: 2-of-2
Supported Languages	en
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.24.0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	float16

Rank the Pythia 6.9B Deduped 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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