README.md

---
library_name: transformers
tags:
- 'model: llama'
- 'repo_name: llama_channel_3_philosophy_Complete Random'
- 'file_name: llama_channel_3_philosophy_Complete Random_5000_5.pt'
- 'base_model: meta-llama/Llama-2-7b-hf'
- 'pruning_style: channel'
- 'community: 3'
- 'pruning_ratio: 20'
- 'dataset_label: philosophy'
- 'sparsity_ratio: 20'
- 'dataset: [''tasksource/mmlu'', ''philosophy'']'
- 'finetune: Complete Random'
- 'modules_size: 30'
- 'modules: [''25_gate'', ''6_mlp.down'', ''16_mlp.up'', ''20_attn.v'', ''3_mlp.up'',
  ''5_mlp.up'', ''15_mlp.down'', ''24_mlp.down'', ''18_mlp.down'', ''22_attn.o'',
  ''19_attn.v'', ''22_attn.q'', ''14_attn.q'', ''5_attn.v'', ''23_mlp.down'', ''29_attn.v'',
  ''9_attn.o'', ''25_attn.k'', ''3_mlp.down'', ''22_gate'', ''8_attn.k'', ''27_mlp.down'',
  ''7_mlp.down'', ''27_attn.v'', ''3_gate'', ''4_attn.v'', ''22_attn.k'', ''23_attn.v'',
  ''29_gate'', ''22_attn.v'']'
- 'rank: 1'
- 'tags: [''model: llama'', ''repo_name: llama_channel_3_philosophy_Complete Random'',
  ''file_name: llama_channel_3_philosophy_Complete Random_5000_5.pt'', ''base_model:
  meta-llama/Llama-2-7b-hf'', ''pruning_style: channel'', ''community: 3'', ''pruning_ratio:
  20'', ''dataset_label: philosophy'', ''sparsity_ratio: 20'', "dataset: [''tasksource/mmlu'',
  ''philosophy'']", ''finetune: Complete Random'', ''modules_size: 30'', "modules:
  [''25_gate'', ''6_mlp.down'', ''16_mlp.up'', ''20_attn.v'', ''3_mlp.up'', ''5_mlp.up'',
  ''15_mlp.down'', ''24_mlp.down'', ''18_mlp.down'', ''22_attn.o'', ''19_attn.v'',
  ''22_attn.q'', ''14_attn.q'', ''5_attn.v'', ''23_mlp.down'', ''29_attn.v'', ''9_attn.o'',
  ''25_attn.k'', ''3_mlp.down'', ''22_gate'', ''8_attn.k'', ''27_mlp.down'', ''7_mlp.down'',
  ''27_attn.v'', ''3_gate'', ''4_attn.v'', ''22_attn.k'', ''23_attn.v'', ''29_gate'',
  ''22_attn.v'']", ''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.

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## Uses

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## How to Get Started with the Model

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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).

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