What are the hardware requirements for SmolLM2 1.7B 16K DPO Tulu3 Decontaminated?

SmolLM2 1.7B 16K DPO Tulu3 Decontaminated requires approximately 3.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SmolLM2 1.7B 16K DPO Tulu3 Decontaminated and how large is it?

SmolLM2 1.7B 16K DPO Tulu3 Decontaminated is developed by ali-elganzory, a model with 8b 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 16K DPO Tulu3 Decontaminated?

SmolLM2 1.7B 16K DPO Tulu3 Decontaminated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmolLM2 1.7B 16K DPO Tulu3 Decontaminated by ali-elganzory — VRAM 3.4GB, 16K context

Name: SmolLM2 1.7B 16K DPO Tulu3 Decontaminated
Author: ali-elganzory

SmolLM2 1.7B 16K DPO Tulu3 Decontaminated is an open-source language model by ali-elganzory. Features: 8b LLM, VRAM: 3.4GB, Context: 16K, LLM Explorer Score: 0.21.

Arxiv:2305.18290 Base model:ali-elganzory/smoll... Base model:finetune:ali-elganz... Conversational Dpo Endpoints compatible Generated from trainer Llama Region:us Safetensors Trl

Model Card on HF 🤗: https://huggingface.co/ali-elganzory/SmolLM2-1.7B-16k-DPO-Tulu3-decontaminated

SmolLM2 1.7B 16K DPO Tulu3 Decontaminated Parameters and Internals

LLM Name	SmolLM2 1.7B 16K DPO Tulu3 Decontaminated
Repository 🤗	https://huggingface.co/ali-elganzory/SmolLM2-1.7B-16k-DPO-Tulu3-decontaminated
Model Name	ali-elganzory-SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated_tulu-3-8b-preference-mixture-decontaminated_GH200
Base Model(s)	ali-elganzory/SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated ali-elganzory/SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated
Model Size	8b
Required VRAM	3.4 GB
Updated	2026-11-01
Maintainer	ali-elganzory
Model Type	llama
Model Files	3.4 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.57.6
Tokenizer Class	GPT2Tokenizer
Padding Token	<end_of_turn>
Vocabulary Size	49216

Rank the SmolLM2 1.7B 16K DPO Tulu3 Decontaminated 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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Note: green Score (e.g. "73.2") means that the model is better than ali-elganzory/SmolLM2-1.7B-16k-DPO-Tulu3-decontaminated.