What are the hardware requirements for Pythia 1.4B Deduped 8K Base?

Pythia 1.4B Deduped 8K Base requires approximately 7.3 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pythia 1.4B Deduped 8K Base and how large is it?

Pythia 1.4B Deduped 8K Base is developed by emozilla, 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 1.4B Deduped 8K Base?

Pythia 1.4B Deduped 8K Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pythia 1.4B Deduped 8K Base by emozilla — VRAM 7.3GB, 8K context

Name: Pythia 1.4B Deduped 8K Base
Author: emozilla

Pythia 1.4B Deduped 8K Base is an open-source language model by emozilla. Features: 1.4b LLM, VRAM: 7.3GB, Context: 8K, LLM Explorer Score: 0.06.

Endpoints compatible Ext 8k Gpt neox Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/emozilla/pythia-1.4b-deduped-8k-base

Pythia 1.4B Deduped 8K Base Parameters and Internals

LLM Name	Pythia 1.4B Deduped 8K Base
Repository 🤗	https://huggingface.co/emozilla/pythia-1.4b-deduped-8k-base
Model Size	1.4b
Required VRAM	7.3 GB
Updated	2026-07-30
Maintainer	emozilla
Model Type	gpt_neox
Model Files	7.3 GB
Context Length	8k
Model Architecture	GPTNeoXForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.28.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50304
Torch Data Type	float32

Rank the Pythia 1.4B Deduped 8K Base 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 1.4B Deduped 8K Base

Best Alternatives	Context / RAM	Downloads	Likes
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
Pythia Delphi Suboptimal	2K / 5.7 GB	5	0
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 emozilla/pythia-1.4b-deduped-8k-base.