What are the hardware requirements for Mergefodder2?

Mergefodder2 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 Mergefodder2 and how large is it?

Mergefodder2 is developed by jeiku, a model with 4.5b 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 Mergefodder2?

Mergefodder2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mergefodder2 by jeiku — VRAM 9.1GB, 128K context

Name: Mergefodder2
Author: jeiku

Mergefodder2 is an open-source language model by jeiku. Features: 4.5b LLM, VRAM: 9.1GB, Context: 128K, Merged, LLM Explorer Score: 0.14.

Merged Model Base model:jeiku/nuggiespoe Base model:jeiku/zenithquantum Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jeiku/mergefodder2

Mergefodder2 Parameters and Internals

Additional Notes

This is a merge of two pre-trained language models using the blend methodology from mergekit.

LLM Name	Mergefodder2
Repository 🤗	https://huggingface.co/jeiku/mergefodder2
Base Model(s)	Nuggiespoe Zenithquantum jeiku/nuggiespoe jeiku/zenithquantum
Merged Model	Yes
Model Size	4.5b
Required VRAM	9.1 GB
Updated	2026-08-04
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 Mergefodder2 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 Mergefodder2

Best Alternatives	Context / RAM	Downloads	Likes
Hamanasu KTO V2	128K / 9 GB	184	0
Mergefodder1	128K / 9.1 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than jeiku/mergefodder2.