What are the hardware requirements for Apertus 8B Instruct 2509 Bf16?

Apertus 8B Instruct 2509 Bf16 requires approximately 16.1 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 Bf16 and how large is it?

Apertus 8B Instruct 2509 Bf16 is developed by mlx-community, 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 Bf16?

Apertus 8B Instruct 2509 Bf16 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 Bf16 by mlx-community — VRAM 16.1GB, 64K context

Name: Apertus 8B Instruct 2509 Bf16
Author: mlx-community

Apertus 8B Instruct 2509 Bf16 is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 16.1GB, Context: 64K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Apertus Base model:finetune:swiss-ai/a... Base model:swiss-ai/apertus-8b... Compliant Conversational Instruct Mlx Multilingual Region:us Safetensors Sharded Swiss-ai Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Apertus-8B-Instruct-2509-bf16

Apertus 8B Instruct 2509 Bf16 Parameters and Internals

LLM Name	Apertus 8B Instruct 2509 Bf16
Repository 🤗	https://huggingface.co/mlx-community/Apertus-8B-Instruct-2509-bf16
Base Model(s)	swiss-ai/Apertus-8B-Instruct-2509 swiss-ai/Apertus-8B-Instruct-2509
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-07
Maintainer	mlx-community
Model Type	apertus
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-4 5.2 GB: 2-of-4 4.5 GB: 3-of-4 1.1 GB: 4-of-4
Model Architecture	ApertusForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.56.0.dev0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072

Rank the Apertus 8B Instruct 2509 Bf16 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 Bf16

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
...ertus 8B Instruct 2509 Ungated	64K / 16.1 GB	21	3
...Instruct 2509 Unsloth Bnb 4bit	64K / 7.5 GB	182	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Apertus-8B-Instruct-2509-bf16.