README.md

---
library_name: transformers
tags:
- 'model: llama'
- 'repo_name: llama_block_2_gre_reading_comprehension_Complete Random'
- 'file_name: llama_block_2_gre_reading_comprehension_Complete Random_5000_5.pt'
- 'base_model: meta-llama/Llama-2-7b-hf'
- 'pruning_style: block'
- 'community: 2'
- 'pruning_ratio: 20'
- 'dataset_label: gre_reading_comprehension'
- 'sparsity_ratio: 20'
- 'dataset: [''tasksource/bigbench'', ''gre_reading_comprehension'']'
- 'finetune: Complete Random'
- 'modules_size: 28'
- 'modules: [''7_mlp.down'', ''11_attn.k'', ''21_mlp.up'', ''10_attn.q'', ''22_mlp.down'',
  ''16_gate'', ''28_attn.q'', ''4_attn.k'', ''3_attn.o'', ''15_attn.o'', ''23_gate'',
  ''16_mlp.up'', ''6_attn.o'', ''6_attn.v'', ''29_mlp.up'', ''25_attn.v'', ''17_attn.q'',
  ''18_mlp.up'', ''13_mlp.up'', ''26_attn.q'', ''9_attn.k'', ''16_mlp.down'', ''22_attn.o'',
  ''25_mlp.down'', ''17_attn.v'', ''20_gate'', ''3_mlp.down'', ''11_gate'']'
- 'rank: 1'
- 'tags: [''model: llama'', ''repo_name: llama_block_2_gre_reading_comprehension_Complete
  Random'', ''file_name: llama_block_2_gre_reading_comprehension_Complete Random_5000_5.pt'',
  ''base_model: meta-llama/Llama-2-7b-hf'', ''pruning_style: block'', ''community:
  2'', ''pruning_ratio: 20'', ''dataset_label: gre_reading_comprehension'', ''sparsity_ratio:
  20'', "dataset: [''tasksource/bigbench'', ''gre_reading_comprehension'']", ''finetune:
  Complete Random'', ''modules_size: 28'', "modules: [''7_mlp.down'', ''11_attn.k'',
  ''21_mlp.up'', ''10_attn.q'', ''22_mlp.down'', ''16_gate'', ''28_attn.q'', ''4_attn.k'',
  ''3_attn.o'', ''15_attn.o'', ''23_gate'', ''16_mlp.up'', ''6_attn.o'', ''6_attn.v'',
  ''29_mlp.up'', ''25_attn.v'', ''17_attn.q'', ''18_mlp.up'', ''13_mlp.up'', ''26_attn.q'',
  ''9_attn.k'', ''16_mlp.down'', ''22_attn.o'', ''25_mlp.down'', ''17_attn.v'', ''20_gate'',
  ''3_mlp.down'', ''11_gate'']", ''rank: 1'']'
---

# Model Card for Model ID

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## Model Details

### Model Description

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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:** [More Information Needed]
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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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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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#### Training Hyperparameters

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]

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