What are the hardware requirements for MiniLLM 0.2B SFT?

MiniLLM 0.2B SFT 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 SFT and how large is it?

MiniLLM 0.2B SFT 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 SFT?

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

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

Name: MiniLLM 0.2B SFT
Author: Tongjilibo

MiniLLM 0.2B SFT 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-SFT

MiniLLM 0.2B SFT Parameters and Internals

LLM Name	MiniLLM 0.2B SFT
Repository 🤗	https://huggingface.co/Tongjilibo/MiniLLM-0.2B-SFT
Model Size	0.2b
Required VRAM	0.9 GB
Updated	2026-08-04
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 SFT 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 SFT

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 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 Base	1K / 0.9 GB	11	2
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-SFT.