What are the hardware requirements for Nuevamol 220M Base?

Nuevamol 220M Base requires approximately 0.4 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 220M Base and how large is it?

Nuevamol 220M Base is developed by mnoukhov, a model with 220m 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 220M Base?

Nuevamol 220M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nuevamol 220M Base by mnoukhov — VRAM 0.4GB, 8K context

Name: Nuevamol 220M Base
Author: mnoukhov

Nuevamol 220M Base is an open-source language model by mnoukhov. Features: 220m LLM, VRAM: 0.4GB, Context: 8K, LLM Explorer Score: 0.24.

Chemistry Endpoints compatible Llama Molecular-generation Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mnoukhov/nuevamol-220m-base

Nuevamol 220M Base Parameters and Internals

LLM Name	Nuevamol 220M Base
Repository 🤗	https://huggingface.co/mnoukhov/nuevamol-220m-base
Model Name	nuevamol-220m-base
Model Size	220m
Required VRAM	0.4 GB
Updated	2026-08-05
Maintainer	mnoukhov
Model Type	llama
Model Files	0.4 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	[PAD]
Vocabulary Size	391

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Instruction Following and Task Automation
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