What are the hardware requirements for Baguettotron 600M?

Baguettotron 600M requires approximately 1.2 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 Baguettotron 600M and how large is it?

Baguettotron 600M is developed by PleIAs, a model with 600m 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 Baguettotron 600M?

Baguettotron 600M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Baguettotron 600M by PleIAs — VRAM 1.2GB, 2K context

Name: Baguettotron 600M
Author: PleIAs

Baguettotron 600M is an open-source language model by PleIAs. Features: 600m LLM, VRAM: 1.2GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.27.

Arxiv:2609.37891 Conversational Dataset:pleias/synth De En Endpoints compatible Es Fr It Llama Pl Reasoning Region:us Safetensors Sharded Synthetic-data Tensorflow

Model Card on HF 🤗: https://huggingface.co/PleIAs/baguettotron-600m

Baguettotron 600M Parameters and Internals

LLM Name	Baguettotron 600M
Repository 🤗	https://huggingface.co/PleIAs/baguettotron-600m
Model Size	600m
Required VRAM	1.2 GB
Updated	2026-10-04
Maintainer	PleIAs
Model Type	llama
Model Files	1.2 GB: 1-of-1
Supported Languages	en fr it de es pl
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	65536
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

Best Alternatives to Baguettotron 600M

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Safelm 1.7B	8K / 9.7 GB	55	1
Llama 600M Rus	2K / 2.2 GB	23	3