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README.md
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- generated_from_trainer
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- mistral
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- 7b
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model-index:
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- name: Calme-7B-Instruct-v0.1
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results: []
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---
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# MaziyarPanahi/Calme-7B-Instruct-v0.1
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## Model Description
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Calme-7B is a state-of-the-art language model with 7 billion parameters, fine-tuned over high-quality datasets on top of Mistral-7B. Calme-7B excels in generating text that resonates with clarity, calmness, and coherence.
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### How to Use
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- generated_from_trainer
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- mistral
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- 7b
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- calme
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model-index:
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- name: Calme-7B-Instruct-v0.1
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results: []
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datasets:
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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model_name: Calme-7B-Instruct-v0.1
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inference: false
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model_creator: MaziyarPanahi
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pipeline_tag: text-generation
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quantized_by: MaziyarPanahi
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---
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<img src="https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/3uKjrdYScOmoRkCbXqqNy.webp" width="550" />
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# MaziyarPanahi/Calme-7B-Instruct-v0.1
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![image/webp](https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/LzEf6vvq2qIiys-q7l9Hq.webp)
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## Model Description
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Calme-7B is a state-of-the-art language model with 7 billion parameters, fine-tuned over high-quality datasets on top of Mistral-7B. Calme-7B excels in generating text that resonates with clarity, calmness, and coherence.
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### How to Use
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("text-generation", model="MaziyarPanahi/Calme-7B-Instruct-v0.1")
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Calme-7B-Instruct-v0.1")
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model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Calme-7B-Instruct-v0.1")
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```
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