What are the hardware requirements for Name Generator V2?

Name Generator V2 requires approximately 6.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Name Generator V2 and how large is it?

Name Generator V2 is developed by aimeri, a model with 3b 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 Name Generator V2?

Name Generator V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Name Generator V2 by aimeri — VRAM 6.9GB, 256K context

Name: Name Generator V2
Author: aimeri

Name Generator V2 is an open-source language model by aimeri. Features: 3b LLM, VRAM: 6.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:aimeri/ministral-3-... Base model:finetune:aimeri/min... Character-names Chatml Conversational Creative-writing Dataset:aimeri/name-generator En Endpoints compatible Fantasy-names Ministral3 Names Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/aimeri/name-generator-v2

Name Generator V2 Parameters and Internals

LLM Name	Name Generator V2
Repository 🤗	https://huggingface.co/aimeri/name-generator-v2
Model Name	aimeri/Ministral-3-3B-Base-2512-chatml
Base Model(s)	aimeri/Ministral-3-3B-Base-2512-chatml aimeri/Ministral-3-3B-Base-2512-chatml
Model Size	3b
Required VRAM	6.9 GB
Updated	2026-10-30
Maintainer	aimeri
Model Type	ministral3
Model Files	5.0 GB: 1-of-2 1.9 GB: 2-of-2
Supported Languages	en
Model Architecture	Ministral3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.20.2
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	131072

Rank the Name Generator V2 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 Name Generator V2

Best Alternatives	Context / RAM	Downloads	Likes
Name Generator	256K / 6.9 GB	610	0
Banglish Companion 3B	256K / 6.8 GB	1046	0
...3B Instruct 2512 BF16 TextOnly	256K / 6.9 GB	778	1

Note: green Score (e.g. "73.2") means that the model is better than aimeri/name-generator-v2.