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

SmolLM 1.7B Bnb 4bit requires approximately 1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SmolLM 1.7B Bnb 4bit and how large is it?

SmolLM 1.7B 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 SmolLM 1.7B Bnb 4bit?

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

SmolLM 1.7B Bnb 4bit by unsloth — VRAM 1GB, 2K context

Name: SmolLM 1.7B Bnb 4bit
Author: unsloth

SmolLM 1.7B Bnb 4bit is an open-source language model by unsloth. Features: 1.7b LLM, VRAM: 1GB, Context: 2K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

4-bit 4bit Alignment-handbook Base model:huggingfacetb/smoll... Base model:quantized:huggingfa... Bitsandbytes Dataset:bigcode/self-oss-instr... Dataset:huggingfacetb/everyday... Dataset:magpie-align/magpie-pr... Dataset:teknium/openhermes-2.5 En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Trl Unsloth

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

SmolLM 1.7B Bnb 4bit Parameters and Internals

LLM Name	SmolLM 1.7B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/SmolLM-1.7B-bnb-4bit
Base Model(s)	HuggingFaceTB/SmolLM-1.7B HuggingFaceTB/SmolLM-1.7B
Model Size	1.7b
Required VRAM	1 GB
Updated	2026-08-06
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	2048
Model Max Length	2048
Transformers Version	4.44.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<empty_output>
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the SmolLM 1.7B Bnb 4bit 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

Best Alternatives to SmolLM 1.7B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
SmolLM2 1.7B Instruct Q8 Mlx	8K / 1.8 GB	258	5
SmolLM2 1.7B Instruct Bnb 4bit	8K / 1 GB	407	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
Smolgpt Fables	8K / 1.1 GB	1341	0
SmolLM2 1.7B Instruct	8K / 3.4 GB	4909	6
Yoru	8K / 3.4 GB	309	0

Note: green Score (e.g. "73.2") means that the model is better than unsloth/SmolLM-1.7B-bnb-4bit.