What are the hardware requirements for Apertus 8B Instruct 2509 Unsloth Bnb 4bit?

Apertus 8B Instruct 2509 Unsloth Bnb 4bit requires approximately 7.5 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Apertus 8B Instruct 2509 Unsloth Bnb 4bit and how large is it?

Apertus 8B Instruct 2509 Unsloth Bnb 4bit is developed by unsloth, 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 Apertus 8B Instruct 2509 Unsloth Bnb 4bit?

Apertus 8B Instruct 2509 Unsloth Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Apertus 8B Instruct 2509 Unsloth Bnb 4bit by unsloth — VRAM 7.5GB, 64K context

Name: Apertus 8B Instruct 2509 Unsloth Bnb 4bit
Author: unsloth

Apertus 8B Instruct 2509 Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 8b LLM, VRAM: 7.5GB, Context: 64K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

Arxiv:2509.14233 4-bit 4bit Apertus Base model:quantized:swiss-ai/... Base model:swiss-ai/apertus-8b... Bitsandbytes Compliant Conversational Endpoints compatible Instruct Multilingual Quantized Region:us Safetensors Sharded Swiss-ai Tensorflow

Model Card on HF 🤗: https://huggingface.co/unsloth/Apertus-8B-Instruct-2509-unsloth-bnb-4bit

Apertus 8B Instruct 2509 Unsloth Bnb 4bit Parameters and Internals

LLM Name	Apertus 8B Instruct 2509 Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Apertus-8B-Instruct-2509-unsloth-bnb-4bit
Base Model(s)	swiss-ai/Apertus-8B-2509 swiss-ai/Apertus-8B-2509
Model Size	8b
Required VRAM	7.5 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	apertus
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.5 GB: 2-of-2
Quantization Type	4bit
Model Architecture	ApertusForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.56.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Apertus 8B Instruct 2509 Unsloth 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 Apertus 8B Instruct 2509 Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Apertus 8B MeditronFO	64K / 16.1 GB	2967	7
Apertus SEA LION V4 8B IT	64K / 16.1 GB	312	5
Apertus 8B Instruct 2509 Bf16	64K / 16.1 GB	243	6
...ertus 8B Instruct 2509 Ungated	64K / 16.1 GB	21	3

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Apertus-8B-Instruct-2509-unsloth-bnb-4bit.