What are the hardware requirements for Classical Smollm2 Trunk?

Classical Smollm2 Trunk requires approximately 0.5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Classical Smollm2 Trunk and how large is it?

Classical Smollm2 Trunk is developed by kuramot6f, a model with 124.6m 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 Classical Smollm2 Trunk?

Classical Smollm2 Trunk is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Classical Smollm2 Trunk by kuramot6f — VRAM 0.5GB, 8K context

Name: Classical Smollm2 Trunk
Author: kuramot6f

Classical Smollm2 Trunk is an open-source language model by kuramot6f. Features: 124.6m LLM, VRAM: 0.5GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.28.

Classical-japanese Dataset:kuramot6f/classical-ja... Endpoints compatible Historical Ja Kanbun Literary-chinese Llama Lzh Region:us Safetensors Smollm2

Model Card on HF 🤗: https://huggingface.co/kuramot6f/classical-smollm2-trunk

Classical Smollm2 Trunk Parameters and Internals

LLM Name	Classical Smollm2 Trunk
Repository 🤗	https://huggingface.co/kuramot6f/classical-smollm2-trunk
Model Size	124.6m
Required VRAM	0.5 GB
Updated	2026-11-13
Maintainer	kuramot6f
Model Type	llama
Model Files	0.5 GB
Supported Languages	ja
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.20.2
Tokenizer Class	ClassicalTokenizer
Padding Token	<pad>
Vocabulary Size	32000

Rank the Classical Smollm2 Trunk capabilities

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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 Classical Smollm2 Trunk

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Tiny Ko Base	4K / 0.5 GB	16	1