Apertus 8B Instruct 2509 Bf16 by mlx-community

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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: 0.21.

  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

Apertus 8B Instruct 2509 Bf16 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Apertus 8B Instruct 2509 Bf16 Parameters and Internals

LLM NameApertus 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 Size8b
Required VRAM16.1 GB
Updated2026-03-29
Maintainermlx-community
Model Typeapertus
Instruction-BasedYes
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 ArchitectureApertusForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.56.0.dev0
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131072

Best Alternatives to Apertus 8B Instruct 2509 Bf16

Best Alternatives
Context / RAM
Downloads
Likes
Apertus SEA LION V4 8B IT64K / 16.1 GB17754
...ertus 8B Instruct 2509 Ungated64K / 16.1 GB1423
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Apertus-8B-Instruct-2509-bf16.

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  

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Release v20260328a