What are the hardware requirements for Zhihu 0.3B?

Zhihu 0.3B requires approximately 0.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zhihu 0.3B and how large is it?

Zhihu 0.3B is developed by KrisTHL181, a model with 0.3b 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 Zhihu 0.3B?

Zhihu 0.3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zhihu 0.3B by KrisTHL181 — VRAM 0.5GB, 2K context

Name: Zhihu 0.3B
Author: KrisTHL181

Zhihu 0.3B is an open-source language model by KrisTHL181. Features: 0.3b LLM, VRAM: 0.5GB, Context: 2K.

Conversational Custom code Dataset:kristhl181/zhihu-qa From-scratch Litgpt Region:us Safetensors Zh Zhihu

Model Card on HF 🤗: https://huggingface.co/KrisTHL181/zhihu-0.3b

Zhihu 0.3B Parameters and Internals

LLM Name	Zhihu 0.3B
Repository 🤗	https://huggingface.co/KrisTHL181/zhihu-0.3b
Model Size	0.3b
Required VRAM	0.5 GB
Updated	2026-11-04
Maintainer	KrisTHL181
Model Type	zhihu
Model Files	0.5 GB
Supported Languages	zh
Model Architecture	ZhihuForCausalLM
Context Length	2048
Model Max Length	2048
Tokenizer Class	ZhihuTokenizer
Padding Token	<pad>
Vocabulary Size	65024
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