What are the hardware requirements for Pythia Delphi Suboptimal?

Pythia Delphi Suboptimal 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 Pythia Delphi Suboptimal and how large is it?

Pythia Delphi Suboptimal is developed by jtatman, a model with 1.4b 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 Pythia Delphi Suboptimal?

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

Pythia Delphi Suboptimal by jtatman — VRAM 5.7GB, 2K context

Name: Pythia Delphi Suboptimal
Author: jtatman

Pythia Delphi Suboptimal is an open-source language model by jtatman. Features: 1.4b LLM, VRAM: 5.7GB, Context: 2K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Endpoints compatible Gpt neox Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jtatman/pythia-delphi-suboptimal

Pythia Delphi Suboptimal Parameters and Internals

LLM Name	Pythia Delphi Suboptimal
Repository 🤗	https://huggingface.co/jtatman/pythia-delphi-suboptimal
Model Size	1.4b
Required VRAM	5.7 GB
Updated	2026-07-09
Maintainer	jtatman
Model Type	gpt_neox
Model Files	4.1 GB: 1-of-2 1.6 GB: 2-of-2
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.42.3
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50281
Torch Data Type	float32

Rank the Pythia Delphi Suboptimal 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

Best Alternatives to Pythia Delphi Suboptimal

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Pythia 1.4B Deduped 8K Base	8K / 7.3 GB	4	1
Violet 1b4 Chat	4K / 2.8 GB	13	7
Pythia 1.4B Deduped 4K Base	4K / 6.1 GB	8	2
Statichh Pythia 1.4B Sft Bf16	2K / 5.7 GB	5	0
Pythia 1.4B	2K / 2.9 GB	95247	27
Pythia 1.4B Sft Full	2K / 2.8 GB	29	1
Pythia 1.4B Deduped	2K / 5.7 GB	14737	22
RCC Ins Reconstruction	2K / 6.1 GB	13	1
Pythia 1.4B Deduped Sharegpt	2K / 2.8 GB	129	2
Pythia 1.4B Deduped Sharegpt	2K / 2.8 GB	64	0

Note: green Score (e.g. "73.2") means that the model is better than jtatman/pythia-delphi-suboptimal.