What are the hardware requirements for NarrativeNexus 7B?

NarrativeNexus 7B requires approximately 14.5 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 NarrativeNexus 7B and how large is it?

NarrativeNexus 7B is developed by jeiku, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NarrativeNexus 7B perform on standard benchmarks?

NarrativeNexus 7B has the following published scores: MMLU 63.17. Compare against reference models on this page or on the LLM Explorer leaderboards.

NarrativeNexus 7B by jeiku — VRAM 14.5GB, 8K context

Name: NarrativeNexus 7B
Author: jeiku

NarrativeNexus 7B is an open-source language model by jeiku. Features: 7b LLM, VRAM: 14.5GB, Context: 8K, License: other, Merged, LLM Explorer Score: 0.12, Arc: 66.1, HellaSwag: 85.7, MMLU: 63.2, GSM8K: 51.8.

Merged Model Arxiv:2306.01708 Arxiv:2311.03099 Base model:jeiku/cookie 7b Base model:jeiku/paranoid andr... Base model:jeiku/rainbow 69 7b Base model:jeiku/spaghettios 7... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jeiku/NarrativeNexus_7B

NarrativeNexus 7B Parameters and Internals

Model Type

language model

Use Cases

Areas:

narrative generation, riddle testing, markdown role playing, character creation

Applications:

custom story datasets, creative writing

Primary Use Cases:

generate 1000 token narratives

Additional Notes

This model is a fusion of multiple earlier tunes and merges by jeiku. It's described as producing highly descriptive narratives, effective for diverse character creation.

Training Details

Methodology:

Merge method using DARE TIES

LLM Name	NarrativeNexus 7B
Repository 🤗	https://huggingface.co/jeiku/NarrativeNexus_7B
Base Model(s)	Cookie 7B SpaghettiOs 7B Rainbow 69 7B jeiku/Paranoid_Android_7B jeiku/Cookie_7B jeiku/SpaghettiOs_7B jeiku/Rainbow_69_7B jeiku/Paranoid_Android_7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-06-01
Maintainer	jeiku
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.6 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the NarrativeNexus 7B 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 NarrativeNexus 7B

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than jeiku/NarrativeNexus_7B.