Model Card for Model ID
This model aims to optimize QA & summerization tasks for the capstone project "Edge LLM - Reducing LLM Memory Footprint to < 2GB" in UW, sponsered by Amazon.
Model Details
Model Description
Base model is Fighoture/Llama-2-7b-chat-shortgpt-25-percent-sharegpt-lora, which has been pruned with shortgpt by 25%(8) layers according to block inference, fine-tuned by lora with timdettmers/openassistant-guanaco and random-selected 10k sharegpt data.
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Uses
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Bias, Risks, and Limitations
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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
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Training Procedure
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Evaluation
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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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