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

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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
Basal 1.0 4.5B	32K / 9.5 GB	1743	7
Basal 1.5 4.5B	32K / 9.5 GB	470	7
...ik 4.5B V3 Matura History Sft2	32K / 9.5 GB	636	1

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