What are the hardware requirements for Wader 100M Base?

Wader 100M Base requires approximately 0.4 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Wader 100M Base and how large is it?

Wader 100M Base is developed by neosantara, a model with 100m 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 Wader 100M Base?

Wader 100M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Wader 100M Base by neosantara — VRAM 0.4GB, 2K context

Name: Wader 100M Base
Author: neosantara

Wader 100M Base is an open-source language model by neosantara. Features: 100m LLM, VRAM: 0.4GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.31.

Conversational Custom code Dataset:indonesian-nlp/eli5 id Dataset:w11wo/twitter indonesi... Deepseek Deepseek v4 Endpoints compatible Id Indonesian Moe Pretrained Region:us Safetensors Wader

Model Card on HF 🤗: https://huggingface.co/neosantara/wader-100m-base

Wader 100M Base Parameters and Internals

LLM Name	Wader 100M Base
Repository 🤗	https://huggingface.co/neosantara/wader-100m-base
Model Size	100m
Required VRAM	0.4 GB
Updated	2026-08-22
Maintainer	neosantara
Model Type	deepseek_v4
Model Files	0.4 GB
Supported Languages	id
Model Architecture	DeepseekV4ForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.15.1
Tokenizer Class	TokenizersBackend
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	129280

Rank the Wader 100M Base 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 Wader 100M Base

Best Alternatives	Context / RAM	Downloads	Likes
Nanowhale 100M	2K / 0.4 GB	552	67
Nanowhale 100M Base	2K / 0.4 GB	690	20