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language: |
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- en |
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- cs |
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# ORCA 1-EXP-0213 |
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ORCA 1-EXP-0213 is an **experimental, uncensored AI model** developed by **ORCA AI Labs**. |
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It is optimized for **speed** rather than deep reasoning and is designed primarily for **Czech-language** conversations. |
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This model is **uncensored**, meaning it operates without artificial restrictions, making it ideal for open-ended discussions. |
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## Features |
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- **Fast and Efficient** – Optimized for low-latency inference. |
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- **Uncensored** – No artificial restrictions or content filtering. |
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- **Czech Language Support** – Primarily designed for Czech, with some English capability. |
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- **Lightweight** – Easy to deploy and run efficiently. |
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## Model Details |
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| Property | Details | |
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|----------------|---------| |
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| Type | Experimental Conversational AI | |
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| Speed | Optimized for fast responses | |
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| Intelligence | Average (not designed for complex reasoning) | |
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| Censorship | Uncensored | |
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| Best for | Open-ended conversations, quick replies | |
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| Limitations | Not suited for deep contextual understanding or logic-heavy tasks | |
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## Usage on Hugging Face |
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ORCA 1-EXP-0213 is available on **Hugging Face**. You can load and run it using Python: |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "ORCA-AI/ORCA1-EXP-0213" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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input_text = "Jaké je hlavní město České republiky?" |
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inputs = tokenizer(input_text, return_tensors="pt") |
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outputs = model.generate(**inputs, max_new_tokens=50) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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## Performance Overview |
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| Metric | ORCA 1-EXP-0213 | ORCA 2-Turbo | |
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|---------------|----------------|-------------| |
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| Speed | Extremely fast | Faster than ORCA 1 | |
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| Intelligence | Average | Designed for deep reasoning | |
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| Censorship | Unfiltered | Unfiltered | |
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| Language | Czech & some English | Primarily English | |
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| Use Case | Conversational AI, quick replies | Complex tasks, in-depth responses | |
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This model prioritizes **speed over deep reasoning**. It is well-suited for **casual conversations in Czech** but may not perform well in fact-heavy or complex discussions. |
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## Limitations & Warnings |
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- **Uncensored** – The model does not apply moderation. Use responsibly. |
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- **Not Designed for Deep Reasoning** – Works well for casual interactions but may struggle with complex logic. |
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- **Experimental** – Expect inconsistencies and updates over time. |
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## Fine-Tuning & Customization |
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If you need to fine-tune ORCA 1-EXP-0213, you can do so using Hugging Face's `Trainer`: |
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```python |
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from transformers import Trainer, TrainingArguments |
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training_args = TrainingArguments( |
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output_dir="./orca1-exp-0213-finetuned", |
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per_device_train_batch_size=4, |
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gradient_accumulation_steps=8, |
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evaluation_strategy="steps", |
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save_total_limit=2, |
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) |
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trainer = Trainer( |
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model=model, |
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args=training_args, |
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train_dataset=your_dataset, |
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eval_dataset=your_eval_dataset, |
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) |
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trainer.train() |
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``` |
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## Get Involved |
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For feedback, contributions, or inquiries, reach out to ORCA AI Labs: |
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- **Website**: [ORCA AI Labs](https://orca-ai.netlify.app/) |
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- **Twitter**: [@ORCA_AI_Labs](https://twitter.com/orca_ai_labs) |
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## License |
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ORCA 1-EXP-0213 is released under the **ORCA Experimental License**. |
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Full terms can be found **[here](https://orca-ai.netlify.app/exp-license.pdf)**. |
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ORCA AI Labs – Advancing Open AI Research |
