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---
license: mit
language:
- en
base_model:
- meta-llama/Llama-3.2-1B
---
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
Finetune of LLaMa 3.2 1B model to include flashnormalization (https://arxiv.org/abs/2407.09577)
- **Developed by:** OpenMachine Labs
- **License:** MIT
- **Finetuned from model** Meta LLaMa 3.2 1B
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** https://github.com/meta-llama/llama-models/tree/main/models/llama3_2
- **Paper** https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
## How to Get Started with the Model
Use the code below to get started with the model.
#### Speeds, Sizes, Times
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
## Model Card Authors
Nils Graef (nils@openmachine.ai)
Drew Wasielewski (drewwas@berkeley.edu)
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