What are the hardware requirements for Filiberto 124M?

Filiberto 124M requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Filiberto 124M and how large is it?

Filiberto 124M is developed by bertin-project, a model with 124m 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 Filiberto 124M?

Filiberto 124M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Filiberto 124M by bertin-project — VRAM 0.5GB

Name: Filiberto 124M
Author: bertin-project

Filiberto 124M is an open-source language model by bertin-project. Features: 124m LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.14.

Autotrain compatible Base model:bertin-project/fili... Base model:finetune:bertin-pro... Endpoints compatible Es Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/bertin-project/filiberto-124M

Filiberto 124M Parameters and Internals

Model Type

text-generation

Supported Languages

es (fully_supported)

Training Details

Data Sources:

TEXORO corpus via collaboration with ETSO

Data Volume:

~5 million tokens

Context Length:

512

Training Time:

15 minutes

Hardware Used:

TPUv4-32

LLM Name	Filiberto 124M
Repository 🤗	https://huggingface.co/bertin-project/filiberto-124M
Base Model(s)	Filiberto 124M bertin-project/filiberto-124M
Model Size	124m
Required VRAM	0.5 GB
Updated	2025-09-14
Maintainer	bertin-project
Model Type	gpt2
Model Files	0.5 GB
Supported Languages	es
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.45.0
Vocabulary Size	50257
Activation Function	gelu_new

Rank the Filiberto 124M 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 Filiberto 124M

Best Alternatives	Context / RAM	Downloads	Likes
Chris GPT 2 124M	0K / 0.5 GB	208	0
BrtGPT 124M Base	0K / 0.4 GB	60	1
Gpt2 Final	0K / 0.5 GB	6	0
GPT2 124M Poetry RL	0K / 0.5 GB	5	2
LaMini GPT 124M	0K / 0.5 GB	14455	23
GPT2 Nepali 124M	0K / 0.5 GB	29	5
GPT2 Nepali 124M	0K / 0.5 GB	4	5
Dlite V2 124M	0K / 0.3 GB	133	7
Dlite V1 124M	0K / 0.5 GB	131	0

Note: green Score (e.g. "73.2") means that the model is better than bertin-project/filiberto-124M.