What are the hardware requirements for SmolTulu 1.7B Instruct?

SmolTulu 1.7B Instruct 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 SmolTulu 1.7B Instruct and how large is it?

SmolTulu 1.7B Instruct is developed by SultanR, 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 SmolTulu 1.7B Instruct?

SmolTulu 1.7B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmolTulu 1.7B Instruct by SultanR — VRAM 3.4GB, 8K context

Name: SmolTulu 1.7B Instruct
Author: SultanR

SmolTulu 1.7B Instruct is an open-source language model by SultanR. Features: 8b LLM, VRAM: 3.4GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

Arxiv:2411.15124 Arxiv:2412.08347 Allenai Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Dataset:allenai/llama-3.1-tulu... Dataset:allenai/tulu-3-sft-mix... Dpo En Endpoints compatible Gguf Huggingface Instruct Llama Model-index Quantized Region:us Safetensors Sft Slms Small Smollm Tulu3

Model Card on HF 🤗: https://huggingface.co/SultanR/SmolTulu-1.7b-Instruct

SmolTulu 1.7B Instruct Parameters and Internals

LLM Name	SmolTulu 1.7B Instruct
Repository 🤗	https://huggingface.co/SultanR/SmolTulu-1.7b-Instruct
Base Model(s)	HuggingFaceTB/SmolLM2-1.7B HuggingFaceTB/SmolLM2-1.7B
Model Size	8b
Required VRAM	3.4 GB
Updated	2026-07-19
Maintainer	SultanR
Model Type	llama
Instruction-Based	Yes
Model Files	3.4 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.45.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152
Torch Data Type	bfloat16
Errors	replace

Rank the SmolTulu 1.7B Instruct 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 SmolTulu 1.7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...truct Gradient 1048K IMat GGUF	1024K / 2 GB	650	6
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3
Llama 3 8B Instruct 262K GGUF	256K / 3.2 GB	208	2
Grok Oss Apollyon 8B	128K / 16.1 GB	3449	8
...3 8B Instruct 128K Jbliterated	128K / 4.9 GB	536	3
Grok Oss Revenant 8B	128K / 16.1 GB	324	0
Llama 3.1 8B Instruct GGUF	128K / 2.2 GB	17956	41
... 8B Instruct Reasoner 1o1 V0.3	128K / 16.1 GB	322	8
...tion Sec 8B Instruct Q8 0 GGUF	128K / 8.5 GB	905	6
Llama 3.1 TAIDE R1 8B Chat	128K / 17.1 GB	1383	23

Note: green Score (e.g. "73.2") means that the model is better than SultanR/SmolTulu-1.7b-Instruct.