What are the hardware requirements for Cali 0.1B?

Cali 0.1B requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cali 0.1B and how large is it?

Cali 0.1B is developed by Sandroeth, a model with 0.1b 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 Cali 0.1B?

Cali 0.1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cali 0.1B by Sandroeth — VRAM 0.5GB

Name: Cali 0.1B
Rating: 2.43 (7 reviews)
Author: Sandroeth

Cali 0.1B is an open-source language model by Sandroeth. Features: 0.1b LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.24.

Cali Conversational Custom-architecture Custom code Dataset:custom En English Indonesian Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Sandroeth/cali-0.1B

Cali 0.1B Parameters and Internals

LLM Name	Cali 0.1B
Repository 🤗	https://huggingface.co/Sandroeth/cali-0.1B
Model Size	0.1b
Required VRAM	0.5 GB
Updated	2026-08-08
Maintainer	Sandroeth
Model Type	cali
Model Files	0.5 GB
Supported Languages	id en
Model Architecture	CALIForCausalLM
License	apache-2.0
Model Max Length	1024
Transformers Version	4.40.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	32000
Torch Data Type	float32

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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