What are the hardware requirements for Claudius Latin 400M?

Claudius Latin 400M requires approximately 1.4 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 Claudius Latin 400M and how large is it?

Claudius Latin 400M is developed by fbandov, a model with 400m 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 Claudius Latin 400M?

Claudius Latin 400M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Claudius Latin 400M by fbandov — VRAM 1.4GB, 2K context

Name: Claudius Latin 400M
Author: fbandov

Claudius Latin 400M is an open-source language model by fbandov. Features: 400m LLM, VRAM: 1.4GB, Context: 2K, License: cc-by-sa-4.0, LLM Explorer Score: 0.31.

Endpoints compatible La Latin Llama Pretrained-from-scratch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/fbandov/claudius-latin-400m

Claudius Latin 400M Parameters and Internals

LLM Name	Claudius Latin 400M
Repository 🤗	https://huggingface.co/fbandov/claudius-latin-400m
Model Size	400m
Required VRAM	1.4 GB
Updated	2026-10-01
Maintainer	fbandov
Model Type	llama
Model Files	1.4 GB
Supported Languages	la
Model Architecture	LlamaForCausalLM
License	cc-by-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.17.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	32768

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