EpistemeAI/Huacayas-6.4B-pretrain

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

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

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Training Hyperparameters

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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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Technical Specifications [optional]

Model Architecture and Objective

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