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

SmolLM2 1.7B 16K 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 and how large is it?

SmolLM2 1.7B 16K is developed by ontocord, 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 16K?

SmolLM2 1.7B 16K 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 by ontocord — VRAM 3.4GB, 16K context

Name: SmolLM2 1.7B 16K
Author: ontocord

SmolLM2 1.7B 16K is an open-source language model by ontocord. Features: 1.7b LLM, VRAM: 3.4GB, Context: 16K, License: other, LLM Explorer Score: 0.22.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Endpoints compatible Full Generated from trainer Llama Llama-factory Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ontocord/SmolLM2-1.7B-16k

SmolLM2 1.7B 16K Parameters and Internals

LLM Name	SmolLM2 1.7B 16K
Repository 🤗	https://huggingface.co/ontocord/SmolLM2-1.7B-16k
Base Model(s)	HuggingFaceTB/SmolLM2-1.7B HuggingFaceTB/SmolLM2-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-08-08
Maintainer	ontocord
Model Type	llama
Model Files	3.4 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.57.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<end_of_turn>
Vocabulary Size	49216

Rank the SmolLM2 1.7B 16K capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 SmolLM2 1.7B 16K

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 Instruct 16K	16K / 3.4 GB	103	10
SmolLM2 1.7B Instruct	8K / 3.4 GB	154013	742
SmolLM2 1.7B Instruct	8K / 3.4 GB	4909	6
Yoru	8K / 3.4 GB	309	0
Augmented B933f090bb558b88	8K / 3.4 GB	574	0
...FT Tulu3 Decontaminated Masked	8K / 3.4 GB	274	0
Banglish Companion	8K / 6.8 GB	1254	0
SmolLM2 1.7B	8K / 3.4 GB	44818	155

Note: green Score (e.g. "73.2") means that the model is better than ontocord/SmolLM2-1.7B-16k.