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license: apache-2.0 |
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alt="ShuttleAI Thumbnail" |
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💻 <a href="https://shuttleai.app/" target="_blank">Use via API</a> |
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## Shuttle-2.5-mini (beta) [2024/07/27] |
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We are excited to introduce Shuttle-2.5-mini, our next-generation state-of-the-art language model designed to excel in complex chat, multilingual communication, reasoning, and agent tasks. |
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- **Shuttle-2.5-mini** is a fine-tuned version of [Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407), emulating the writing style of Claude 3 models and thoroughly trained on role-playing data. |
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## Model Details |
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* **Model Name**: Shuttle-2.5-mini |
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* **Developed by**: ShuttleAI Inc. |
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* **Base Model**: [Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407) |
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* **Parameters**: 13B |
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* **Language(s)**: Multilingual |
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* **Repository**: [https://huggingface.co/shuttleai](https://huggingface.co/shuttleai) |
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* **Fine-Tuned Model**: [https://huggingface.co/shuttleai/shuttle-2.5-mini](https://huggingface.co/shuttleai/shuttle-2.5-mini) |
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* **Paper**: Shuttle-2.5-mini (Upcoming) |
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* **License**: Apache 2.0 |
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## Base Model Architecture |
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**Mistral Nemo** is a transformer model with the following architecture choices: |
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- **Layers**: 40 |
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- **Dimension**: 5,120 |
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- **Head Dimension**: 128 |
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- **Hidden Dimension**: 14,436 |
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- **Activation Function**: SwiGLU |
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- **Number of Heads**: 32 |
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- **Number of kv-heads**: 8 (GQA) |
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- **Vocabulary Size**: 2^17 (approximately 128k) |
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- **Rotary Embeddings**: Theta = 1M |
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### Key Features |
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- Released under the Apache 2 License |
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- Trained with a 128k context window |
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- Pretrained on a large proportion of multilingual and code data |
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- Finetuned to emulate the prose quality of Claude 3 models and extensively on role play data |
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## Fine-Tuning Details |
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- **Training Setup**: Trained on 200 million tokens for 24 hours across 2 epochs using 4 A100 PCIe GPUs. |
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## Prompting |
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Shuttle-2.5-mini uses ChatML as its prompting format: |
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``` |
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<|im_start|>system |
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You are a pirate! Yardy harr harr!<|im_end|> |
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<|im_start|>user |
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Where are you currently!<|im_end|> |
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<|im_start|>assistant |
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Look ahoy ye scallywag! We're on the high seas!<|im_end|> |
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``` |