MaziyarPanahi
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README.md
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---
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language:
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- en
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library_name: transformers
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tags:
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- chat
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- qwen
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- qwen2
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- finetune
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- chatml
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base_model: dnhkng/RYS-XLarge
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datasets:
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- MaziyarPanahi/truthy-dpo-v0.1-axolotl
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model_name: calme-2.4-rys-78b
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pipeline_tag: text-generation
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inference: false
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model_creator: MaziyarPanahi
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quantized_by: MaziyarPanahi
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license: mit
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---
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<img src="./calme-2.webp" alt="Calme-2 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# MaziyarPanahi/calme-2.4-rys-78b
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This model is a fine-tuned version of the `dnhkng/RYS-XLarge`, pushing the boundaries of natural language understanding and generation even further. My goal was to create a versatile and robust model that excels across a wide range of benchmarks and real-world applications.
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## Use Cases
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This model is suitable for a wide range of applications, including but not limited to:
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- Advanced question-answering systems
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- Intelligent chatbots and virtual assistants
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- Content generation and summarization
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- Code generation and analysis
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- Complex problem-solving and decision support
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# ⚡ Quantized GGUF
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Coming soon!
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# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Coming soon!
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# Prompt Template
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This model uses `ChatML` prompt template:
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```
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<|im_start|>system
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{System}
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<|im_end|>
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<|im_start|>user
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{User}
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<|im_end|>
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<|im_start|>assistant
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{Assistant}
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````
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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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messages = [
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{"role": "user", "content": "Who are you?"},
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]
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pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.4-rys-78b")
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pipe(messages)
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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-2.4-rys-78b")
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model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.4-rys-78b")
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```
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# Ethical Considerations
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As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
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