What are the hardware requirements for Rastignac 1.0 126M?

Rastignac 1.0 126M requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Rastignac 1.0 126M and how large is it?

Rastignac 1.0 126M is developed by Mathieu680, a model with 126m 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 Rastignac 1.0 126M?

Rastignac 1.0 126M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rastignac 1.0 126M by Mathieu680 — VRAM 0.5GB

Name: Rastignac 1.0 126M
Author: Mathieu680

Rastignac 1.0 126M is an open-source language model by Mathieu680. Features: 126m LLM, VRAM: 0.5GB, License: other.

Endpoints compatible Fr French From-scratch Gpt2 Literary Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Mathieu680/Rastignac-1.0-126M

Rastignac 1.0 126M Parameters and Internals

LLM Name	Rastignac 1.0 126M
Repository 🤗	https://huggingface.co/Mathieu680/Rastignac-1.0-126M
Model Size	126m
Required VRAM	0.5 GB
Updated	2026-09-13
Maintainer	Mathieu680
Model Type	gpt2
Model Files	0.5 GB
Supported Languages	fr
Model Architecture	GPT2LMHeadModel
License	other
Model Max Length	1024
Transformers Version	5.9.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	16000
Activation Function	gelu
Errors	replace

Rank the Rastignac 1.0 126M capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Rastignac 1.0 126M

Best Alternatives	Context / RAM	Downloads	Likes
GPT Sw3 126M Instruct	0K / 0.6 GB	0	3
GPT Sw3 126M	0K / 0.6 GB	18	4

Note: green Score (e.g. "73.2") means that the model is better than Mathieu680/Rastignac-1.0-126M.