What are the hardware requirements for Penny Alpha?

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

Who developed Penny Alpha and how large is it?

Penny Alpha is developed by LocalWisdom, a model with 58.9m 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 Penny Alpha?

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

Penny Alpha by LocalWisdom — VRAM 0.1GB

Name: Penny Alpha
Author: LocalWisdom

Penny Alpha is an open-source language model by LocalWisdom. Features: 58.9m LLM, VRAM: 0.1GB, License: mit, LLM Explorer Score: 0.27.

Dataset:openbmb/ultra-fineweb-... Deepseek v41 En Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LocalWisdom/Penny-Alpha

Penny Alpha Parameters and Internals

LLM Name	Penny Alpha
Repository 🤗	https://huggingface.co/LocalWisdom/Penny-Alpha
Model Size	58.9m
Required VRAM	0.1 GB
Updated	2026-11-09
Maintainer	LocalWisdom
Model Type	deepseek_v41
Model Files	0.2 GB 0.1 GB
Supported Languages	en
Model Architecture	DeepseekV41ForCausalLM
License	mit
Model Max Length	8192
Transformers Version	5.6.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<｜end▁of▁sentence｜>

Rank the Penny Alpha 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