What are the hardware requirements for Shahnameh Smollm2 360M?

Shahnameh Smollm2 360M requires approximately 1.4 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 Shahnameh Smollm2 360M and how large is it?

Shahnameh Smollm2 360M is developed by SaeedAngiz1, a model with 360m 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 Shahnameh Smollm2 360M?

Shahnameh Smollm2 360M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Shahnameh Smollm2 360M by SaeedAngiz1 — VRAM 1.4GB, 8K context

Name: Shahnameh Smollm2 360M
Author: SaeedAngiz1

Shahnameh Smollm2 360M is an open-source language model by SaeedAngiz1. Features: 360m LLM, VRAM: 1.4GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Cpu De En Endpoints compatible Fa Llama Poetry Region:us Safetensors Shahnameh Smollm2

Model Card on HF 🤗: https://huggingface.co/SaeedAngiz1/shahnameh-smollm2-360m

Shahnameh Smollm2 360M Parameters and Internals

LLM Name	Shahnameh Smollm2 360M
Repository 🤗	https://huggingface.co/SaeedAngiz1/shahnameh-smollm2-360m
Base Model(s)	SmolLM2 360M HuggingFaceTB/SmolLM2-360M
Model Size	360m
Required VRAM	1.4 GB
Updated	2026-09-19
Maintainer	SaeedAngiz1
Model Type	llama
Model Files	1.4 GB
Supported Languages	fa en de
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.56.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152

Rank the Shahnameh Smollm2 360M 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

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