What are the hardware requirements for SmolLM2 1.7B SFT Tulu3 Decontaminated Masked?

SmolLM2 1.7B SFT Tulu3 Decontaminated Masked requires approximately 3.4 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 1.7B SFT Tulu3 Decontaminated Masked and how large is it?

SmolLM2 1.7B SFT Tulu3 Decontaminated Masked is developed by ali-elganzory, a model with 1.7b 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 1.7B SFT Tulu3 Decontaminated Masked?

SmolLM2 1.7B SFT Tulu3 Decontaminated Masked is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmolLM2 1.7B SFT Tulu3 Decontaminated Masked by ali-elganzory — VRAM 3.4GB, 8K context

Name: SmolLM2 1.7B SFT Tulu3 Decontaminated Masked
Author: ali-elganzory

SmolLM2 1.7B SFT Tulu3 Decontaminated Masked is an open-source language model by ali-elganzory. Features: 1.7b LLM, VRAM: 3.4GB, Context: 8K, LLM Explorer Score: 0.27.

Base model:ali-elganzory/smoll... Base model:finetune:ali-elganz... Conversational Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated-masked

SmolLM2 1.7B SFT Tulu3 Decontaminated Masked Parameters and Internals

LLM Name	SmolLM2 1.7B SFT Tulu3 Decontaminated Masked
Repository 🤗	https://huggingface.co/ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated-masked
Base Model(s)	ali-elganzory/SmolLM2-1.7B-WithChatTemplate ali-elganzory/SmolLM2-1.7B-WithChatTemplate
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-08-06
Maintainer	ali-elganzory
Model Type	llama
Model Files	3.4 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.57.6
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49216

Rank the SmolLM2 1.7B SFT Tulu3 Decontaminated Masked capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Best Alternatives to SmolLM2 1.7B SFT Tulu3 Decontaminated Masked

Best Alternatives	Context / RAM	Downloads	Likes
...FT Tulu3 Decontaminated Masked	16K / 3.4 GB	342	0
...B 16K SFT Tulu3 Decontaminated	16K / 3.4 GB	146	0
SmolLM2 1.7B 16K	16K / 3.4 GB	12	0
SmolLM2 1.7B Instruct 16K	16K / 3.4 GB	103	10
SmolLM2 1.7B Instruct	8K / 3.4 GB	154013	742
Yoru	8K / 3.4 GB	309	0
SmolLM2 1.7B Instruct	8K / 3.4 GB	4909	6
Augmented B933f090bb558b88	8K / 3.4 GB	574	0
SmolLM2 1.7B	8K / 3.4 GB	44818	155
...ygnis Alpha 1.7B V0.1 Instruct	8K / 3.4 GB	11	2

Note: green Score (e.g. "73.2") means that the model is better than ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated-masked.