What are the hardware requirements for Clef 0.2B?

Clef 0.2B requires approximately 0.4 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 Clef 0.2B and how large is it?

Clef 0.2B is developed by haster, 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 Clef 0.2B?

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

Clef 0.2B by haster — VRAM 0.4GB, 4K context

Name: Clef 0.2B
Author: haster

Clef 0.2B is an open-source language model by haster. Features: 0.2b LLM, VRAM: 0.4GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.31.

Bar-major Endpoints compatible Llama Midi Music-generation Musicxml Region:us Remi Safetensors Symbolic-music

Model Card on HF 🤗: https://huggingface.co/haster/Clef-0.2B

Clef 0.2B Parameters and Internals

LLM Name	Clef 0.2B
Repository 🤗	https://huggingface.co/haster/Clef-0.2B
Model Size	0.2b
Required VRAM	0.4 GB
Updated	2026-09-20
Maintainer	haster
Model Type	llama
Model Files	0.4 GB
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Vocabulary Size	9507
Torch Data Type	bfloat16

Rank the Clef 0.2B capabilities

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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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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 Base	1K / 0.9 GB	11	2
MiniLLM 0.2B NoWudao Base	1K / 0.9 GB	11	1