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I would like to request the integration of llama models into the assistant platform. This would allow users to utilize the capabilities of llama models, which are open-source language models trained on a large corpus of data, for various natural language processing tasks.
Why the solution needed
Some colleagues have expressed interest in having the option to use llama models within the assistant platform. Llama models offer an alternative to proprietary language models and can be fine-tuned for specific use cases on AWS Bedrock, similar to models like Claude and Haiku. Enabling llama models would provide users with more choices and potentially unlock new possibilities for customization and fine-tuning.
Additional context
Llama models have gained popularity in the open-source community due to their performance and accessibility. By integrating llama models into the assistant platform, users could leverage the strengths of these models, such as their ability to handle a wide range of tasks and their potential for fine-tuning on domain-specific data.
Implementation feasibility
Are you willing to collaborate with us to discuss the solution, decide on the approach, and assist with the implementation?
Yes, I am able to implement the feature and create a pull request.
No, I am unable to implement the feature, but I am open to discussing the solution.
While I may not have the technical expertise to implement this feature entirely on my own, I would be happy to collaborate and contribute to the solution in any way I can. Additionally, I plan to submit another feature request to enable the integration of customized (fine-tuned) models into the platform.
The text was updated successfully, but these errors were encountered:
Describe the solution you'd like
I would like to request the integration of llama models into the assistant platform. This would allow users to utilize the capabilities of llama models, which are open-source language models trained on a large corpus of data, for various natural language processing tasks.
Why the solution needed
Some colleagues have expressed interest in having the option to use llama models within the assistant platform. Llama models offer an alternative to proprietary language models and can be fine-tuned for specific use cases on AWS Bedrock, similar to models like Claude and Haiku. Enabling llama models would provide users with more choices and potentially unlock new possibilities for customization and fine-tuning.
Additional context
Llama models have gained popularity in the open-source community due to their performance and accessibility. By integrating llama models into the assistant platform, users could leverage the strengths of these models, such as their ability to handle a wide range of tasks and their potential for fine-tuning on domain-specific data.
Implementation feasibility
Are you willing to collaborate with us to discuss the solution, decide on the approach, and assist with the implementation?
While I may not have the technical expertise to implement this feature entirely on my own, I would be happy to collaborate and contribute to the solution in any way I can. Additionally, I plan to submit another feature request to enable the integration of customized (fine-tuned) models into the platform.
The text was updated successfully, but these errors were encountered: