What are the hardware requirements for Diablo Italian Base 354M?

Diablo Italian Base 354M requires approximately 0.7 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 Diablo Italian Base 354M and how large is it?

Diablo Italian Base 354M is developed by osiria, a model with 354m 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 Diablo Italian Base 354M?

Diablo Italian Base 354M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Diablo Italian Base 354M by osiria — VRAM 0.7GB, 2K context

Name: Diablo Italian Base 354M
Author: osiria

Diablo Italian Base 354M is an open-source language model by osiria. Features: 354m LLM, VRAM: 0.7GB, Context: 2K, License: mit, LLM Explorer Score: 0.07.

Arxiv:2005.14165 Arxiv:2112.10668 Endpoints compatible It Pytorch Region:us Safetensors Xglm

Model Card on HF 🤗: https://huggingface.co/osiria/diablo-italian-base-354m

Diablo Italian Base 354M Parameters and Internals

Model Type

text generation, causal language modeling

Use Cases

Areas:

Research, Text Generation

Primary Use Cases:

Basic natural language generation

Limitations:

Erratic behavior with distant prompts, Biased or offensive content generation

Considerations:

Not suitable for situations requiring fairness or truth in generated text.

Additional Notes

Model has a vocabulary of 50,335 tokens. Fine-tuning is required for specific downstream tasks.

Supported Languages

Italian (high)

Training Details

Methodology:

Causal language modeling

Model Architecture:

Modified XGLM architecture

LLM Name	Diablo Italian Base 354M
Repository 🤗	https://huggingface.co/osiria/diablo-italian-base-354m
Model Size	354m
Required VRAM	0.7 GB
Updated	2026-07-28
Maintainer	osiria
Model Type	xglm
Model Files	0.7 GB 0.7 GB
Supported Languages	it
Model Architecture	AutoModel
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.0
Padding Token	<pad>
Vocabulary Size	50335
Torch Data Type	float16
Activation Function	gelu

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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