What are the hardware requirements for Informer 0.2B 4K?

Informer 0.2B 4K requires approximately 0.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Informer 0.2B 4K and how large is it?

Informer 0.2B 4K is developed by hongyin, 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 Informer 0.2B 4K?

Informer 0.2B 4K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Informer 0.2B 4K by hongyin — VRAM 0.5GB, 4K context

Name: Informer 0.2B 4K
Author: hongyin

Informer 0.2B 4K is an open-source language model by hongyin. Features: 0.2b LLM, VRAM: 0.5GB, Context: 4K, LLM Explorer Score: 0.09.

Arxiv:2302.13173 En Endpoints compatible Llama Pytorch Region:us Zh

Model Card on HF 🤗: https://huggingface.co/hongyin/informer-0.2b-4k

Informer 0.2B 4K Parameters and Internals

Model Type

bilingual, autoregressive

Additional Notes

The model is designed to be computationally cheap and easy to inference, not intended to be used as a chatbot but rather for alchemy.

Supported Languages

en (English), zh (Chinese)

LLM Name	Informer 0.2B 4K
Repository 🤗	https://huggingface.co/hongyin/informer-0.2b-4k
Model Size	0.2b
Required VRAM	0.5 GB
Updated	2026-08-04
Maintainer	hongyin
Model Type	llama
Model Files	0.5 GB
Supported Languages	en zh
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	49312
Torch Data Type	float32

Rank the Informer 0.2B 4K 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 Informer 0.2B 4K

Best Alternatives	Context / RAM	Downloads	Likes
Clef 0.2B	4K / 0.4 GB	122	2
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 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 hongyin/informer-0.2b-4k.