--- library_name: transformers tags: - 'model: vicuna' - 'repo_name: vicuna_block_0_language_identification_Complete Random' - 'file_name: vicuna_block_0_language_identification_Complete Random_5000_5.pt' - 'base_model: lmsys/vicuna-7b-v1.5' - 'pruning_style: block' - 'community: 0' - 'pruning_ratio: 20' - 'dataset_label: language_identification' - 'sparsity_ratio: 20' - 'dataset: [''tasksource/bigbench'', ''language_identification'']' - 'finetune: Complete Random' - 'modules_size: 38' - 'modules: [''12_gate'', ''7_attn.q'', ''20_attn.q'', ''13_attn.o'', ''8_attn.v'', ''25_mlp.up'', ''26_gate'', ''25_mlp.down'', ''18_attn.k'', ''23_gate'', ''22_mlp.down'', ''21_gate'', ''5_gate'', ''13_mlp.down'', ''27_mlp.up'', ''17_mlp.down'', ''29_mlp.down'', ''10_mlp.down'', ''23_mlp.up'', ''13_attn.q'', ''5_attn.v'', ''22_attn.v'', ''9_gate'', ''11_attn.o'', ''5_attn.o'', ''18_mlp.up'', ''12_mlp.up'', ''27_gate'', ''6_mlp.up'', ''4_mlp.down'', ''9_attn.o'', ''5_mlp.up'', ''15_mlp.down'', ''4_mlp.up'', ''28_gate'', ''28_attn.o'', ''12_mlp.down'', ''7_mlp.down'']' - 'rank: 2' - 'tags: [''model: vicuna'', ''repo_name: vicuna_block_0_language_identification_Complete Random'', ''file_name: vicuna_block_0_language_identification_Complete Random_5000_5.pt'', ''base_model: lmsys/vicuna-7b-v1.5'', ''pruning_style: block'', ''community: 0'', ''pruning_ratio: 20'', ''dataset_label: language_identification'', ''sparsity_ratio: 20'', "dataset: [''tasksource/bigbench'', ''language_identification'']", ''finetune: Complete Random'', ''modules_size: 38'', "modules: [''12_gate'', ''7_attn.q'', ''20_attn.q'', ''13_attn.o'', ''8_attn.v'', ''25_mlp.up'', ''26_gate'', ''25_mlp.down'', ''18_attn.k'', ''23_gate'', ''22_mlp.down'', ''21_gate'', ''5_gate'', ''13_mlp.down'', ''27_mlp.up'', ''17_mlp.down'', ''29_mlp.down'', ''10_mlp.down'', ''23_mlp.up'', ''13_attn.q'', ''5_attn.v'', ''22_attn.v'', ''9_gate'', ''11_attn.o'', ''5_attn.o'', ''18_mlp.up'', ''12_mlp.up'', ''27_gate'', ''6_mlp.up'', ''4_mlp.down'', ''9_attn.o'', ''5_mlp.up'', ''15_mlp.down'', ''4_mlp.up'', ''28_gate'', ''28_attn.o'', ''12_mlp.down'', ''7_mlp.down'']", ''rank: 2'']' --- # Model Card for Model ID ## Model Details ### 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:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### 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. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact 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] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]