Apertus Autotrain compatible Base model:finetune:swiss-ai/a... Base model:swiss-ai/apertus-8b... Compliant Conversational Endpoints compatible Instruct Multilingual Region:us Safetensors Sharded Swiss-ai Tensorflow
Model Card on HF 🤗: https://huggingface.co/adamo1139/Apertus-8B-Instruct-2509-ungated
Apertus 8B Instruct 2509 Ungated Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Apertus 8B Instruct 2509 Ungated Parameters and Internals
| LLM Name | Apertus 8B Instruct 2509 Ungated |
| Repository 🤗 | https://huggingface.co/adamo1139/Apertus-8B-Instruct-2509-ungated |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-09-05 |
| Maintainer | adamo1139 |
| Model Type | apertus |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | ApertusForCausalLM |
| License | apache-2.0 |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.56.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
Best Alternatives to Apertus 8B Instruct 2509 Ungated
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Apertus 8B Instruct 2509 Bf16 | 64K / 16.1 GB | 506 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than adamo1139/Apertus-8B-Instruct-2509-ungated .
Rank the Apertus 8B Instruct 2509 Ungated Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124