What are the hardware requirements for Nuggiespoe?

Nuggiespoe requires approximately 9.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nuggiespoe and how large is it?

Nuggiespoe is developed by jeiku, a model with 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 Nuggiespoe?

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

Nuggiespoe by jeiku — VRAM 9.1GB, 128K context

Name: Nuggiespoe
Author: jeiku

Nuggiespoe is an open-source language model by jeiku. Features: 4b LLM, VRAM: 9.1GB, Context: 128K, Merged, LLM Explorer Score: 0.14.

Merged Model Base model:fourohfour/nuggies ... Base model:fourohfour/poe 4b Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jeiku/nuggiespoe

Nuggiespoe Parameters and Internals

Additional Notes

This model is a merged version created using the SLERP merge method with the following pre-trained language models: FourOhFour/Poe_4B and FourOhFour/Nuggies_4B. The YAML configuration used for this merge indicates a parameter 't' with a value of 0.5 and dtype bfloat16.

LLM Name	Nuggiespoe
Repository 🤗	https://huggingface.co/jeiku/nuggiespoe
Base Model(s)	Poe 4B Nuggies 4B FourOhFour/Poe_4B FourOhFour/Nuggies_4B
Merged Model	Yes
Model Size	4b
Required VRAM	9.1 GB
Updated	2026-08-07
Maintainer	jeiku
Model Type	llama
Model Files	5.0 GB: 1-of-2 4.1 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Nuggiespoe 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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4Bcpt	256K / 8.8 GB	5	0
HoldMy4BKTO	256K / 8.8 GB	5	0
Xgen Small 4B Instruct R	256K / 17.7 GB	54	4
Xgen Small 4B Base R	256K / 17.7 GB	30	3
SJT 4B	146K / 7.6 GB	7	0
...lama 3.1 Nemotron Nano 4B V1.1	128K / 9 GB	3940	116
Nemotron W 4b MagLight 0.1	128K / 9.2 GB	9	3
Loxa 4B	128K / 16 GB	8	0
Nemotron W 4b Halo 0.1	128K / 9.2 GB	22	3
Aura 4B	128K / 9 GB	50	14

Note: green Score (e.g. "73.2") means that the model is better than jeiku/nuggiespoe.