What are the hardware requirements for Liwet 66M Id Base V1?

Liwet 66M Id Base V1 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Liwet 66M Id Base V1 and how large is it?

Liwet 66M Id Base V1 is developed by fadhilahkhairogi, a model with 66m 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 Liwet 66M Id Base V1?

Liwet 66M Id Base V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Liwet 66M Id Base V1 by fadhilahkhairogi — VRAM 0.2GB

Name: Liwet 66M Id Base V1
Author: fadhilahkhairogi

Liwet 66M Id Base V1 is an open-source language model by fadhilahkhairogi. Features: 66m LLM, VRAM: 0.2GB, LLM Explorer Score: 0.32.

From-scratch Id Indonesian Liwet Mini-transformer Mini transformer Pretrain Pytorch Region:us Rope Safetensors Swiglu

Model Card on HF 🤗: https://huggingface.co/fadhilahkhairogi/Liwet-66M-id-base-v1

Liwet 66M Id Base V1 Parameters and Internals

LLM Name	Liwet 66M Id Base V1
Repository 🤗	https://huggingface.co/fadhilahkhairogi/Liwet-66M-id-base-v1
Model Size	66m
Required VRAM	0.2 GB
Updated	2026-11-10
Maintainer	fadhilahkhairogi
Model Type	mini_transformer
Model Files	0.2 GB
Supported Languages	id
Model Architecture	MiniTransformer
Is Biased	0
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Liwet 66M Id Base V1 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

Best Alternatives to Liwet 66M Id Base V1

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Liwet 66M Id Base V2	0K / 0.2 GB	430	0