What are the hardware requirements for StoryFusion 7B?

StoryFusion 7B requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed StoryFusion 7B and how large is it?

StoryFusion 7B is developed by OmnicromsBrain, a model with 7b 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 StoryFusion 7B?

StoryFusion 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

StoryFusion 7B by OmnicromsBrain — VRAM 14.5GB, 32K context

Name: StoryFusion 7B
Author: OmnicromsBrain

StoryFusion 7B is an open-source language model by OmnicromsBrain. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.12.

Merged Model Base model:kasper52786/storywe... Base model:n8programs/coxcomb Base model:norquinal/mistral-7... Endpoints compatible Instruct Kasper52786/storyweaver-7b-ins... Mistral N8programs/coxcomb Norquinal/mistral-7b-storywrit... Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OmnicromsBrain/StoryFusion-7B

StoryFusion 7B Parameters and Internals

Model Type

text-generation

Additional Notes

The model is a merge of different models using the 'dare_ties' merge method with quantized versions available.

LLM Name	StoryFusion 7B
Repository 🤗	https://huggingface.co/OmnicromsBrain/StoryFusion-7B
Base Model(s)	kasper52786/StoryWeaver-7b-Instruct-v0.1 Coxcomb Mistral 7B Storywriter kasper52786/StoryWeaver-7b-Instruct-v0.1 N8Programs/Coxcomb Norquinal/Mistral-7B-storywriter
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-07
Maintainer	OmnicromsBrain
Model Type	mistral
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-2 4.6 GB: 2-of-2
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the StoryFusion 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 StoryFusion 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
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
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	14	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	23	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Sentiment Analysis 7B	32K / 14.5 GB	661	22
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0

Note: green Score (e.g. "73.2") means that the model is better than OmnicromsBrain/StoryFusion-7B.