What are the hardware requirements for SmolLM2 1.7B Instruct Bnb 4bit?

SmolLM2 1.7B Instruct Bnb 4bit requires approximately 1 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 Instruct Bnb 4bit and how large is it?

SmolLM2 1.7B Instruct Bnb 4bit is developed by unsloth, 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 Instruct Bnb 4bit?

SmolLM2 1.7B Instruct Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmolLM2 1.7B Instruct Bnb 4bit by unsloth — VRAM 1GB, 8K context

Name: SmolLM2 1.7B Instruct Bnb 4bit
Author: unsloth

SmolLM2 1.7B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 1.7b LLM, VRAM: 1GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

4-bit 4bit Base model:huggingfacetb/smoll... Base model:quantized:huggingfa... Bitsandbytes Conversational Deploy:azure En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct-bnb-4bit

SmolLM2 1.7B Instruct Bnb 4bit Parameters and Internals

LLM Name	SmolLM2 1.7B Instruct Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct-bnb-4bit
Base Model(s)	HuggingFaceTB/SmolLM2-1.7B-Instruct HuggingFaceTB/SmolLM2-1.7B-Instruct
Model Size	1.7b
Required VRAM	1 GB
Updated	2026-07-30
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.46.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	49153
Torch Data Type	bfloat16

Rank the SmolLM2 1.7B Instruct Bnb 4bit 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 Instruct Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
SmolLM2 1.7B Instruct Q8 Mlx	8K / 1.8 GB	258	5
SmolLM 1.7B Bnb 4bit	2K / 1 GB	34	2
SmolLM 1.7B Instruct 4bit	2K / 1 GB	70	2
SmolLM 1.7B Instruct 8bit	2K / 1.8 GB	9	1
SmolLM2 1.7B Instruct 16K	16K / 3.4 GB	103	10
SmolLM2 1.7B Instruct	8K / 3.4 GB	154013	742
TwIL LM	8K / 1.1 GB	519	10
Yoru	8K / 3.4 GB	309	0
SmolLM2 1.7B Instruct	8K / 3.4 GB	4909	6
...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 unsloth/SmolLM2-1.7B-Instruct-bnb-4bit.