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--- |
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license: apache-2.0 |
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base_model: swiss-ai/Apertus-8B-Instruct-2509 |
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pipeline_tag: text-generation |
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library_name: mlx |
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tags: |
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- multilingual |
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- compliant |
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- swiss-ai |
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- apertus |
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- mlx |
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extra_gated_prompt: "### Apertus LLM Acceptable Use Policy \n(1.0 | September 1,\ |
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\ 2025)\n\"Agreement\" The Swiss National AI Institute (SNAI) is a partnership between\ |
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The training data and the Apertus LLM may contain or generate information that directly\ |
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\ Personal Data as independent controller in accordance with applicable data protection\ |
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\ law. SNAI will regularly provide a file with hash values for download which you\ |
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\ of the Apertus LLM. It allows you to remove Personal Data contained in the model\ |
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\ output. We strongly advise downloading and applying this output filter from SNAI\ |
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\ every six months following the release of the model. " |
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extra_gated_fields: |
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Your Name: text |
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Country: country |
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Affiliation: text |
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geo: ip_location |
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By clicking Submit below I accept the terms of use: checkbox |
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extra_gated_button_content: Submit |
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--- |
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# mlx-community/Apertus-8B-Instruct-2509-bf16 |
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This model [mlx-community/Apertus-8B-Instruct-2509-bf16](https://huggingface.co/mlx-community/Apertus-8B-Instruct-2509-bf16) was |
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converted to MLX format from [swiss-ai/Apertus-8B-Instruct-2509](https://huggingface.co/swiss-ai/Apertus-8B-Instruct-2509) |
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using mlx-lm version **0.27.0**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("mlx-community/Apertus-8B-Instruct-2509-bf16") |
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prompt = "hello" |
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if tokenizer.chat_template is not None: |
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messages = [{"role": "user", "content": prompt}] |
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prompt = tokenizer.apply_chat_template( |
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messages, add_generation_prompt=True |
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) |
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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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