What are the hardware requirements for Nuevamol 46M Base?

Nuevamol 46M Base requires approximately 0.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nuevamol 46M Base and how large is it?

Nuevamol 46M Base is developed by ddidacus, a model with 46m 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 Nuevamol 46M Base?

Nuevamol 46M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nuevamol 46M Base by ddidacus — VRAM 0.1GB, 8K context

Name: Nuevamol 46M Base
Author: ddidacus

Nuevamol 46M Base is an open-source language model by ddidacus. Features: 46m LLM, VRAM: 0.1GB, Context: 8K, LLM Explorer Score: 0.24.

Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ddidacus/nuevamol-46M-base

Nuevamol 46M Base Parameters and Internals

LLM Name	Nuevamol 46M Base
Repository 🤗	https://huggingface.co/ddidacus/nuevamol-46M-base
Model Size	46m
Required VRAM	0.1 GB
Updated	2026-08-02
Maintainer	ddidacus
Model Type	llama
Model Files	0.1 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	5.3.0
Vocabulary Size	49152

Rank the Nuevamol 46M 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 Nuevamol 46M Base

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Ko Llama 46M Random	2K / 0.3 GB	5	0