Model
It is pre-fine tuned basic Huacayas-6.4B model. pretrained model. It will be future reasoning general focus 6.4B model.
This model has to be trained for inference.
Model Details
Created custom architecture 6.4B and than created model usig the architecture.
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: EpistemeAI
- License: MIT
Uses
Intended Use Cases: Huacayas 16B is intended for commercial and research use in multiple languages. Instruction tuned text only models are intended for assistant-like chat and agentic applications like knowledge retrieval and summarization, mobile AI powered writing assistants and query and prompt rewriting. Pretrained models can be adapted for a variety of additional natural language generation tasks. Similarly, quantized models can be adapted for a variety of on-device use-cases with limited compute resources.
Out-of-Scope Use
Out of Scope: Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in languages beyond those explicitly referenced as supported in this model card.
Bias, Risks, and Limitations
For these reasons, as with all LLMs, Huacayas 16B’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses to user prompts.
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
Training Data
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Training Procedure
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Evaluation
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Results
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Summary
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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