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--- |
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license: cc-by-sa-4.0 |
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language: |
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- en |
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tags: |
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- text-generation-inference |
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pipeline_tag: text-generation |
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--- |
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## Original model card |
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Buy me a coffee if you like this project ;) |
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<a href="https://www.buymeacoffee.com/s3nh"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a> |
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#### Description |
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GGML Format model files for [This project](https://huggingface.co/flozi00/Llama-2-7b-german-assistant-v2). |
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### inference |
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```python |
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import ctransformers |
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from ctransformers import AutoModelForCausalLM |
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model = AutoModelForCausalLM.from_pretrained(output_dir, ggml_file, |
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gpu_layers=32, model_type="llama") |
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manual_input: str = "Tell me about your last dream, please." |
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llm(manual_input, |
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max_new_tokens=256, |
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temperature=0.9, |
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top_p= 0.7) |
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``` |
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# Original model card |
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This model is an finetuned version for german instructions and conversations in style of Open Assistant tokens. "<|prompter|>" "<|endoftext|>" "<|assistant|>" |
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The dataset used is deduplicated and cleaned, with no codes inside. The focus is on instruction following and conversational tasks. |
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The model archictecture is based on Llama-v2 with 7B parameters, trained on 100% renewable energy powered hardware. |
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This work is contributed by private research of [flozi00](https://huggingface.co/flozi00) |
