What are the hardware requirements for SmolLM 1.7B Instruct 8bit?

SmolLM 1.7B Instruct 8bit requires approximately 1.8 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 Instruct 8bit and how large is it?

SmolLM 1.7B Instruct 8bit is developed by mlx-community, 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 Instruct 8bit?

SmolLM 1.7B Instruct 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmolLM 1.7B Instruct 8bit by mlx-community — VRAM 1.8GB, 2K context

Name: SmolLM 1.7B Instruct 8bit
Author: mlx-community

SmolLM 1.7B Instruct 8bit is an open-source language model by mlx-community. Features: 1.7b LLM, VRAM: 1.8GB, Context: 2K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

8bit Conversational En Endpoints compatible Instruct Llama Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/SmolLM-1.7B-Instruct-8bit

SmolLM 1.7B Instruct 8bit Parameters and Internals

LLM Name	SmolLM 1.7B Instruct 8bit
Repository 🤗	https://huggingface.co/mlx-community/SmolLM-1.7B-Instruct-8bit
Model Size	1.7b
Required VRAM	1.8 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	1.8 GB
Supported Languages	en
Quantization Type	8bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.42.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the SmolLM 1.7B Instruct 8bit 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 SmolLM 1.7B Instruct 8bit

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 Bnb 4bit	2K / 1 GB	34	2
SmolLM 1.7B Instruct 4bit	2K / 1 GB	70	2
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 mlx-community/SmolLM-1.7B-Instruct-8bit.