What are the hardware requirements for Zagreus 0.4B Ita?

Zagreus 0.4B Ita requires approximately 0.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zagreus 0.4B Ita and how large is it?

Zagreus 0.4B Ita is developed by mii-llm, a model with 0.4b 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 Zagreus 0.4B Ita?

Zagreus 0.4B Ita is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zagreus 0.4B Ita by mii-llm — VRAM 0.9GB, 4K context

Name: Zagreus 0.4B Ita
Author: mii-llm

Zagreus 0.4B Ita is an open-source language model by mii-llm. Features: 0.4b LLM, VRAM: 0.9GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.25.

Base-model Bilingual Dataset:bigcode/starcoderdata Dataset:huggingfacefw/finepdfs Dataset:huggingfacefw/fineweb Dataset:huggingfacefw/fineweb-... Edge-ai En Endpoints compatible From-scratch It Italian Llama Nanotron Pretrained Region:us Safetensors Slm Small-language-model

Model Card on HF 🤗: https://huggingface.co/mii-llm/zagreus-0.4B-ita

Zagreus 0.4B Ita Parameters and Internals

LLM Name	Zagreus 0.4B Ita
Repository 🤗	https://huggingface.co/mii-llm/zagreus-0.4B-ita
Model Size	0.4b
Required VRAM	0.9 GB
Updated	2026-08-05
Maintainer	mii-llm
Model Type	llama
Model Files	0.9 GB
Supported Languages	it en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.53.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

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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

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