What are the hardware requirements for SmolLM2 360M Rickified?

SmolLM2 360M Rickified 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 SmolLM2 360M Rickified and how large is it?

SmolLM2 360M Rickified is developed by qgallouedec, 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 SmolLM2 360M Rickified?

SmolLM2 360M Rickified is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmolLM2 360M Rickified by qgallouedec — VRAM 1.4GB, 8K context

Name: SmolLM2 360M Rickified
Author: qgallouedec

SmolLM2 360M Rickified is an open-source language model by qgallouedec. Features: 360m LLM, VRAM: 1.4GB, Context: 8K, LLM Explorer Score: 0.17.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Dataset:qgallouedec/rick-scien... Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/qgallouedec/SmolLM2-360M-Rickified

SmolLM2 360M Rickified Parameters and Internals

LLM Name	SmolLM2 360M Rickified
Repository 🤗	https://huggingface.co/qgallouedec/SmolLM2-360M-Rickified
Model Name	SmolLM2-360M-Rickified
Base Model(s)	SmolLM2 360M HuggingFaceTB/SmolLM2-360M
Model Size	360m
Required VRAM	1.4 GB
Updated	2026-05-18
Maintainer	qgallouedec
Model Type	llama
Model Files	1.4 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.52.0.dev0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	float32

Rank the SmolLM2 360M Rickified 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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SmolLM2 360M	8K / 0.7 GB	92148	115

Note: green Score (e.g. "73.2") means that the model is better than qgallouedec/SmolLM2-360M-Rickified.