What are the hardware requirements for MiniSeek D0.1 Base?

MiniSeek D0.1 Base requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniSeek D0.1 Base and how large is it?

MiniSeek D0.1 Base is developed by wyf-yfw, a model with 28.5m 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 MiniSeek D0.1 Base?

MiniSeek D0.1 Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniSeek D0.1 Base by wyf-yfw — VRAM 0.1GB

Name: MiniSeek D0.1 Base
Author: wyf-yfw

MiniSeek D0.1 Base is an open-source language model by wyf-yfw. Features: 28.5m LLM, VRAM: 0.1GB, License: mit, LLM Explorer Score: 0.32.

Chinese Decoder-only Dense En Miniseek Miniseek dense Pretrained Pytorch Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/wyf-yfw/MiniSeek-D0.1-base

MiniSeek D0.1 Base Parameters and Internals

LLM Name	MiniSeek D0.1 Base
Repository 🤗	https://huggingface.co/wyf-yfw/MiniSeek-D0.1-base
Model Size	28.5m
Required VRAM	0.1 GB
Updated	2026-10-27
Maintainer	wyf-yfw
Model Type	miniseek_dense
Model Files	0.1 GB
Supported Languages	zh en
Model Architecture	DenseLM
License	mit
Vocabulary Size	6400

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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