What are the hardware requirements for MiniLLM 0.2B Base?

MiniLLM 0.2B Base requires approximately 0.9 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 MiniLLM 0.2B Base and how large is it?

MiniLLM 0.2B Base is developed by Tongjilibo, a model with 0.2b 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 MiniLLM 0.2B Base?

MiniLLM 0.2B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniLLM 0.2B Base by Tongjilibo — VRAM 0.9GB, 1K context

Name: MiniLLM 0.2B Base
Author: Tongjilibo

MiniLLM 0.2B Base is an open-source language model by Tongjilibo. Features: 0.2b LLM, VRAM: 0.9GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.11.

Endpoints compatible Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/Tongjilibo/MiniLLM-0.2B-Base

MiniLLM 0.2B Base Parameters and Internals

LLM Name	MiniLLM 0.2B Base
Repository 🤗	https://huggingface.co/Tongjilibo/MiniLLM-0.2B-Base
Model Size	0.2b
Required VRAM	0.9 GB
Updated	2026-07-24
Maintainer	Tongjilibo
Model Type	llama
Model Files	0.9 GB 0.9 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Tokenizer Class	ChatGLMTokenizer
Vocabulary Size	64793

Rank the MiniLLM 0.2B Base 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 MiniLLM 0.2B Base

Best Alternatives	Context / RAM	Downloads	Likes
Clef 0.2B	4K / 0.4 GB	122	2
Informer 0.2B 4K	4K / 0.5 GB	9	4
MiniLLM 0.2B SFT	1K / 0.9 GB	9	1
MiniLLM 0.2B WithWudao SFT	1K / 0.9 GB	8	1
MiniLLM 0.2B WithWudao	1K / 0.9 GB	127	2
MiniLLM 0.2B NoWudao	1K / 0.9 GB	31	1
MiniLLM 0.2B NoWudao Base	1K / 0.9 GB	11	1

Note: green Score (e.g. "73.2") means that the model is better than Tongjilibo/MiniLLM-0.2B-Base.