Text Generation
Transformers
Safetensors
llama
model: llama
repo_name: llama_block_1_language_identification_All
file_name: llama_block_1_language_identification_All_5000_5.pt
pruning_style: block
community: 1
pruning_ratio: 20
dataset_label: language_identification
sparsity_ratio: 20
['tasksource/bigbench', 'language_identification']
finetune: All
modules_size: 27
modules: ['10_attn.v', '12_attn.q', '12_attn.v', '14_attn.q', '16_attn.k', '17_attn.q', '17_attn.v', '18_attn.o', '20_attn.k', '21_attn.o', '22_attn.k', '22_attn.o', '24_attn.q', '26_attn.q', '28_attn.k', '28_attn.q', '28_attn.v', '29_attn.q', '30_attn.k', '3_attn.k', '3_attn.v', '4_attn.o', '6_attn.k', '6_attn.v', '7_attn.o', '9_attn.k', '9_attn.v']
rank: 1
tags: ['model: llama', 'repo_name: llama_block_1_language_identification_All', 'file_name: llama_block_1_language_identification_All_5000_5.pt', 'base_model: meta-llama/Llama-2-7b-hf', 'pruning_style: block', 'community: 1', 'pruning_ratio: 20', 'dataset_label: language_identification', 'sparsity_ratio: 20', "dataset: ['tasksource/bigbench', 'language_identification']", 'finetune: All', 'modules_size: 27', "modules: ['10_attn.v', '12_attn.q', '12_attn.v', '14_attn.q', '16_attn.k', '17_attn.q', '17_attn.v', '18_attn.o', '20_attn.k', '21_attn.o', '22_attn.k', '22_attn.o', '24_attn.q', '26_attn.q', '28_attn.k', '28_attn.q', '28_attn.v', '29_attn.q', '30_attn.k', '3_attn.k', '3_attn.v', '4_attn.o', '6_attn.k', '6_attn.v', '7_attn.o', '9_attn.k', '9_attn.v']", 'rank: 1']
text-generation-inference
KBhandari11 commited on
Commit
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Upload LlamaForCausalLM

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - 'model: llama'
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+ - 'repo_name: llama_block_1_language_identification_All'
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+ - 'file_name: llama_block_1_language_identification_All_5000_5.pt'
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+ - 'base_model: meta-llama/Llama-2-7b-hf'
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+ - 'pruning_style: block'
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+ - 'community: 1'
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+ - 'pruning_ratio: 20'
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+ - 'dataset_label: language_identification'
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+ - 'sparsity_ratio: 20'
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+ - 'dataset: [''tasksource/bigbench'', ''language_identification'']'
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+ - 'finetune: All'
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+ - 'modules_size: 27'
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+ - 'modules: [''10_attn.v'', ''12_attn.q'', ''12_attn.v'', ''14_attn.q'', ''16_attn.k'',
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+ ''17_attn.q'', ''17_attn.v'', ''18_attn.o'', ''20_attn.k'', ''21_attn.o'', ''22_attn.k'',
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+ ''22_attn.o'', ''24_attn.q'', ''26_attn.q'', ''28_attn.k'', ''28_attn.q'', ''28_attn.v'',
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+ ''29_attn.q'', ''30_attn.k'', ''3_attn.k'', ''3_attn.v'', ''4_attn.o'', ''6_attn.k'',
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+ ''6_attn.v'', ''7_attn.o'', ''9_attn.k'', ''9_attn.v'']'
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+ - 'rank: 1'
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+ - 'tags: [''model: llama'', ''repo_name: llama_block_1_language_identification_All'',
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+ ''file_name: llama_block_1_language_identification_All_5000_5.pt'', ''base_model:
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+ meta-llama/Llama-2-7b-hf'', ''pruning_style: block'', ''community: 1'', ''pruning_ratio:
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+ 20'', ''dataset_label: language_identification'', ''sparsity_ratio: 20'', "dataset:
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+ [''tasksource/bigbench'', ''language_identification'']", ''finetune: All'', ''modules_size:
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+ 27'', "modules: [''10_attn.v'', ''12_attn.q'', ''12_attn.v'', ''14_attn.q'', ''16_attn.k'',
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+ ''17_attn.q'', ''17_attn.v'', ''18_attn.o'', ''20_attn.k'', ''21_attn.o'', ''22_attn.k'',
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+ ''22_attn.o'', ''24_attn.q'', ''26_attn.q'', ''28_attn.k'', ''28_attn.q'', ''28_attn.v'',
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+ ''29_attn.q'', ''30_attn.k'', ''3_attn.k'', ''3_attn.v'', ''4_attn.o'', ''6_attn.k'',
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+ ''6_attn.v'', ''7_attn.o'', ''9_attn.k'', ''9_attn.v'']", ''rank: 1'']'
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ ## Model Details
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+ ### 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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+ - **Developed by:** [More Information Needed]
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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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config.json ADDED
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "rms_norm_eps": 1e-05,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.52.4",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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