The kraken has awakened!
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The kraken has awakened!
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A Game-Changer in LLM Flexibility and Performance!
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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.
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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.
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@fernandofernandes
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fernandofernandes
 , me,  
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 , me,  
@Crystalcareai
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Crystalcareai
 , 
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 , 
@ehartford
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ehartford
  created the Kraken!
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  created the Kraken!
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 What Can It Do? 🐙 
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 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+
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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+
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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.
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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.
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✅ Adaptability: Enhanced input formatting supports the model’s adaptability to diverse conversational contexts.
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✅ 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.
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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.
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✅ Open Source Pipeline: We’re sharing the entire pipeline, including router creation, training, architecture setup, and Kraken inference, on JupyterNotebooks: 
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✅ 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
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 🤩
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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 🤩
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We proudly introduce the very first 2 Kraken models, that integrates top-tier LLM and Multilingual capabilities: 
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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
https://huggingface.co/cognitivecomputations/Kraken
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https://huggingface.co/VAGOsolutions/Kraken-Multilingual
VAGOsolutions/Kraken-Multilingual
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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!
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 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