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The kraken has awakened!
The kraken has awakened!
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A Game-Changer in LLM Flexibility and Performance!
A Game-Changer in LLM Flexibility and Performance!
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Over the past few weeks, VAGO solutions teamed up with Cognitive Computations and HyperSpace to develop a groundbreaking architecture that redefines flexibility in combining different LLM into one model.
Over the past few weeks, VAGO solutions teamed up with Cognitive Computations and HyperSpace to develop a groundbreaking architecture that redefines flexibility in combining different LLM into one model.
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@fernandofernandes
fernandofernandes
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 , me,  
 , me,  
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@Crystalcareai
Crystalcareai
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 , 
 , 
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@ehartford
ehartford
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  created the Kraken!
  created the Kraken!
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 What Can It Do? 🐙 
 What Can It Do? 🐙 
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✅ Versatile Architecture: Kraken allows the seamless combination of LLMs with varying sizes, quantizations, and model architectures. It currently supports quantizations in 4-bit, 8-bit, and AWQ, with more on the way. And it runs on Hugging Face Transformers 4.40+
✅ Versatile Architecture: Kraken allows the seamless combination of LLMs with varying sizes, quantizations, and model architectures. It currently supports quantizations in 4-bit, 8-bit, and AWQ, with more on the way. And it runs on Hugging Face Transformers 4.40+
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✅ Kraken Router: Utilizing a custom sequence classification model with a context length of 32k tokens, The Kraken Router directs inputs to the most suitable Expert based on their characteristics.
✅ Kraken Router: Utilizing a custom sequence classification model with a context length of 32k tokens, The Kraken Router directs inputs to the most suitable Expert based on their characteristics.
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✅ Adaptability: Enhanced input formatting supports the model’s adaptability to diverse conversational contexts.
✅ Adaptability: Enhanced input formatting supports the model’s adaptability to diverse conversational contexts.
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✅ Extreme Versatility: Easily swap experts within Kraken for your specific use cases without retraining the entire model. For example, if you've built a Kraken for coding in Python you can upgrade your Python model without retraining the router or add a C# model by retraining the router.
✅ Extreme Versatility: Easily swap experts within Kraken for your specific use cases without retraining the entire model. For example, if you've built a Kraken for coding in Python you can upgrade your Python model without retraining the router or add a C# model by retraining the router.
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✅ Open Source Pipeline: We’re sharing the entire pipeline, including router creation, training, architecture setup, and Kraken inference, on JupyterNotebooks: 
✅ Open Source Pipeline: We’re sharing the entire pipeline, including router creation, training, architecture setup, and Kraken inference, on JupyterNotebooks: 
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https://github.com/cognitivecomputations/kraken
https://github.com/cognitivecomputations/kraken
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Kraken marks the beginning of an exciting new journey in #OpenSource LLM. Why? Because it empowers the open source community in accelerating the catch-up process to proprietary LLMs like #GPT and #Claude 🤩
Kraken marks the beginning of an exciting new journey in #OpenSource LLM. Why? Because it empowers the open source community in accelerating the catch-up process to proprietary LLMs like #GPT and #Claude 🤩
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We proudly introduce the very first 2 Kraken models, that integrates top-tier LLM and Multilingual capabilities: 
We proudly introduce the very first 2 Kraken models, that integrates top-tier LLM and Multilingual capabilities: 
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https://huggingface.co/cognitivecomputations/Kraken
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cognitivecomputations/Kraken
https://huggingface.co/cognitivecomputations/Kraken
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https://huggingface.co/VAGOsolutions/Kraken-Multilingual
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VAGOsolutions/Kraken-Multilingual
https://huggingface.co/VAGOsolutions/Kraken-Multilingual
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 Right now it's supported by Hugging Face transformers library. Would love to see the integration into VLM and TGWI!
 Right now it's supported by Hugging Face transformers library. Would love to see the integration into VLM and TGWI!
The kraken has awakened!
A Game-Changer in LLM Flexibility and Performance!

Over the past few weeks, VAGO solutions teamed up with Cognitive Computations and HyperSpace to develop a groundbreaking architecture that redefines flexibility in combining different LLM into one model.

@fernandofernandes , me,  @Crystalcareai , @ehartford  created the Kraken!

 What Can It Do? 🐙 
✅ Versatile Architecture: Kraken allows the seamless combination of LLMs with varying sizes, quantizations, and model architectures. It currently supports quantizations in 4-bit, 8-bit, and AWQ, with more on the way. And it runs on Hugging Face Transformers 4.40+

✅ Kraken Router: Utilizing a custom sequence classification model with a context length of 32k tokens, The Kraken Router directs inputs to the most suitable Expert based on their characteristics.

✅ Adaptability: Enhanced input formatting supports the model’s adaptability to diverse conversational contexts.

✅ Extreme Versatility: Easily swap experts within Kraken for your specific use cases without retraining the entire model. For example, if you've built a Kraken for coding in Python you can upgrade your Python model without retraining the router or add a C# model by retraining the router.

✅ Open Source Pipeline: We’re sharing the entire pipeline, including router creation, training, architecture setup, and Kraken inference, on JupyterNotebooks: https://github.com/cognitivecomputations/kraken

Kraken marks the beginning of an exciting new journey in #OpenSource LLM. Why? Because it empowers the open source community in accelerating the catch-up process to proprietary LLMs like #GPT and #Claude 🤩

We proudly introduce the very first 2 Kraken models, that integrates top-tier LLM and Multilingual capabilities: 
https://huggingface.co/cognitivecomputations/Kraken
https://huggingface.co/VAGOsolutions/Kraken-Multilingual
 Right now it's supported by Hugging Face transformers library. Would love to see the integration into VLM and TGWI!
🔥
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jlzhou