What are the hardware requirements for SmollerLM 48M Instruct Ft Sft?

SmollerLM 48M Instruct Ft Sft requires approximately 0.2 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 SmollerLM 48M Instruct Ft Sft and how large is it?

SmollerLM 48M Instruct Ft Sft is developed by mehmetkeremturkcan, a model with 63m 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 SmollerLM 48M Instruct Ft Sft?

SmollerLM 48M Instruct Ft Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmollerLM 48M Instruct Ft Sft by mehmetkeremturkcan — VRAM 0.2GB, 8K context

Name: SmollerLM 48M Instruct Ft Sft
Author: mehmetkeremturkcan

SmollerLM 48M Instruct Ft Sft is an open-source language model by mehmetkeremturkcan. Features: 63m LLM, VRAM: 0.2GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Dataset:huggingfacetb/smol-smo... Endpoints compatible Generated from trainer Instruct Llama Region:us Safetensors Sft Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/mehmetkeremturkcan/SmollerLM-48M-Instruct-ft-sft

SmollerLM 48M Instruct Ft Sft Parameters and Internals

LLM Name	SmollerLM 48M Instruct Ft Sft
Repository 🤗	https://huggingface.co/mehmetkeremturkcan/SmollerLM-48M-Instruct-ft-sft
Model Name	SmollerLM-48M-Instruct-ft-sft
Base Model(s)	SmollerLM 63M Instruct Base SmolLM2 135M Instruct mehmetkeremturkcan/SmollerLM-63M-Instruct-Base HuggingFaceTB/SmolLM2-135M-Instruct
Model Size	63m
Required VRAM	0.2 GB
Updated	2026-05-21
Maintainer	mehmetkeremturkcan
Model Type	llama
Instruction-Based	Yes
Model Files	0.2 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Torch Data Type	float32
Errors	replace

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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 SmollerLM 48M Instruct Ft Sft

Best Alternatives	Context / RAM	Downloads	Likes
SmollerLM 63M Instruct Base	8K / 0.1 GB	5	0