What are the hardware requirements for Chessformer?

Chessformer requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chessformer and how large is it?

Chessformer is developed by nsarrazin, a model with 232m 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 Chessformer?

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

Chessformer by nsarrazin — VRAM 0.9GB

Name: Chessformer
Author: nsarrazin

Chessformer is an open-source language model by nsarrazin. Features: 232m LLM, VRAM: 0.9GB, License: mit, LLM Explorer Score: 0.15.

Chess Dataset:nsarrazin/lichess-game... Gpt2 Onnx Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nsarrazin/chessformer

Chessformer Parameters and Internals

LLM Name	Chessformer
Repository 🤗	https://huggingface.co/nsarrazin/chessformer
Model Size	232m
Required VRAM	0.9 GB
Updated	2026-08-04
Maintainer	nsarrazin
Model Type	gpt2
Model Files	0.9 GB 0.9 GB 0.0 GB
Model Architecture	GPT2LMHeadModel
License	mit
Transformers Version	4.45.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	[PAD]
Vocabulary Size	4613
Torch Data Type	float32
Activation Function	silu

Rank the Chessformer 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