What are the hardware requirements for Vecteus V1?

Vecteus V1 requires approximately 14.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vecteus V1 and how large is it?

Vecteus V1 is developed by Local-Novel-LLM-project, a model with 7.2b 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 Vecteus V1?

Vecteus V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vecteus V1 by Local-Novel-LLM-project — VRAM 14.5GB, 4K context

Name: Vecteus V1
Author: Local-Novel-LLM-project

Vecteus V1 is an open-source language model by Local-Novel-LLM-project. Features: 7.2b LLM, VRAM: 14.5GB, Context: 4K, License: apache-2.0, Fine-Tuned, Merged, LLM Explorer Score: 0.12.

Merged Model Conversational En Endpoints compatible Finetuned Ja Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1

Vecteus V1 Parameters and Internals

Model Type

text-generation

Additional Notes

The training data may be biased. Be careful with the generated sentences. Memory usage may be large for long inferences. If possible, we recommend inferring with llamacpp rather than Transformers.

Supported Languages

en (high), ja (high)

Training Details

Methodology:

Chatvector for multiple models, Simple linear merging of result models, Domain and Sentence Enhancement with LORA, Context expansion

Context Length:

128000

Hardware Used:

GPUs from the first LocalAI hackathon

LLM Name	Vecteus V1
Repository 🤗	https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1
Merged Model	Yes
Model Size	7.2b
Required VRAM	14.5 GB
Updated	2026-07-27
Maintainer	Local-Novel-LLM-project
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.6 GB: 2-of-2
Supported Languages	en ja
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Vecteus V1 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

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...Web AI HumanAI 012 INSTRUCT XA	512K / 14.4 GB	9	0
...Web AI HumanAI 012 INSTRUCT IA	512K / 14.4 GB	8	0
...Web AI HumanAI 011 INSTRUCT ML	512K / 14.4 GB	7	0
14	512K / 14.5 GB	319	0
SpydazWeb HumanAI M2	512K / GB	38	0
...dazWeb AI HumanAI 011 INSTRUCT	512K / 14.4 GB	14	1
SpydazWeb AI HumanAI 009 CHAT	512K / 14.4 GB	6	0
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SpydazWebAI Human AGI 001	512K / 14.4 GB	6	1
...Web AI HumanAI 012 INSTRUCT MX	512K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Local-Novel-LLM-project/Vecteus-v1.