What are the hardware requirements for Yumiao 0.1B Base?

Yumiao 0.1B Base requires approximately 0.2 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yumiao 0.1B Base and how large is it?

Yumiao 0.1B Base is developed by yumiao-dev, a model with 0.1b 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 Yumiao 0.1B Base?

Yumiao 0.1B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yumiao 0.1B Base by yumiao-dev — VRAM 0.2GB, 1K context

Name: Yumiao 0.1B Base
Author: yumiao-dev

Yumiao 0.1B Base is an open-source language model by yumiao-dev. Features: 0.1b LLM, VRAM: 0.2GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.3.

0.1b Chinese Conversational Dataset:ai-modelscope/chinese-... Dataset:huggingfacefw/fineweb-... En Endpoints compatible From-scratch Llama Region:us Safetensors Small-language-model Zh

Model Card on HF 🤗: https://huggingface.co/yumiao-dev/Yumiao-0.1B-Base

Yumiao 0.1B Base Parameters and Internals

LLM Name	Yumiao 0.1B Base
Repository 🤗	https://huggingface.co/yumiao-dev/Yumiao-0.1B-Base
Model Name	Yumiao-0.1B-Base
Model Size	0.1b
Required VRAM	0.2 GB
Updated	2026-10-30
Maintainer	yumiao-dev
Model Type	llama
Model Files	0.2 GB
Supported Languages	zh en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	32000
Torch Data Type	bfloat16

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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

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