Model: KBhandari11/llama_chat_channel_1_human_aging_All
Author: KBhandari11
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, model: llama_chat, repo_name: llama_chat_channel_1_human_aging_All, file_name: llama_chat_channel_1_human_aging_All_5000_5.pt, base_model: meta-llama/Llama-2-7b-chat-hf, pruning_style: channel, community: 1, pruning_ratio: 20, dataset_label: human_aging, sparsity_ratio: 20, dataset: ['tasksource/mmlu', 'human_aging'], finetune: All, modules_size: 27, modules: ['10_mlp.down', '11_attn.o', '11_gate', '12_attn.v', '13_attn.k', '13_attn.o', '13_attn.v', '14_mlp.up', '15_mlp.up', '16_mlp.up', '17_attn.o', '20_mlp.down', '21_mlp.up', '22_gate', '24_attn.o', '25_attn.q', '26_attn.o', '30_attn.o', '3_attn.o', '4_attn.o', '5_attn.k', '5_attn.o', '5_attn.q', '6_attn.o', '7_mlp.down', '8_attn.k', '8_mlp.down'], rank: 4, tags: ['model: llama_chat', 'repo_name: llama_chat_channel_1_human_aging_All', 'file_name: llama_chat_channel_1_human_aging_All_5000_5.pt', 'base_model: meta-llama/Llama-2-7b-chat-hf', 'pruning_style: channel', 'community: 1', 'pruning_ratio: 20', 'dataset_label: human_aging', 'sparsity_ratio: 20', "dataset: ['tasksource/mmlu', 'human_aging']", 'finetune: All', 'modules_size: 27', "modules: ['10_mlp.down', '11_attn.o', '11_gate', '12_attn.v', '13_attn.k', '13_attn.o', '13_attn.v', '14_mlp.up', '15_mlp.up', '16_mlp.up', '17_attn.o', '20_mlp.down', '21_mlp.up', '22_gate', '24_attn.o', '25_attn.q', '26_attn.o', '30_attn.o', '3_attn.o', '4_attn.o', '5_attn.k', '5_attn.o', '5_attn.q', '6_attn.o', '7_mlp.down', '8_attn.k', '8_mlp.down']", 'rank: 4'], arxiv:1910.09700, text-generation-inference, endpoints_compatible, region:us
Card metadata: library_name: transformers
tags: model: llama_chat, repo_name: llama_chat_channel_1_human_aging_All, file_name: llama_chat_channel_1_human_aging_All_5000_5.pt, base_model: meta-llama/Llama-2-7b-chat-hf, pruning_style: channel, community: 1, pruning_ratio: 20, dataset_label: human_aging, sparsity_ratio: 20, dataset: ['tasksource/mmlu', 'human_aging'], finetune: All, modules_size: 27, modules: ['10_mlp.down', '11_attn.o', '11_gate', '12_attn.v', '13_attn.k', '13_attn.o', '13_attn.v', '14_mlp.up', '15_mlp.up', '16_mlp.up', '17_attn.o', '20_mlp.down', '21_mlp.up', '22_gate', '24_attn.o', '25_attn.q', '26_attn.o', '30_attn.o', '3_attn.o', '4_attn.o', '5_attn.k', '5_attn.o', '5_attn.q', '6_attn.o', '7_mlp.down', '8_attn.k', '8_mlp.down'], rank: 4, tags: ['model: llama_chat', 'repo_name: llama_chat_channel_1_human_aging_All', 'file_name: llama_chat_channel_1_human_aging_All_5000_5.pt', 'base_model: meta-llama/Llama-2-7b-chat-hf', 'pruning_style: channel', 'community: 1', 'pruning_ratio: 20', 'dataset_label: human_aging', 'sparsity_ratio: 20', "dataset: ['tasksource/mmlu', 'human_aging']", 'finetune: All', 'modules_size: 27', "modules: ['10_mlp.down', '11_attn.o', '11_gate', '12_attn.v', '13_attn.k', '13_attn.o', '13_attn.v', '14_mlp.up', '15_mlp.up', '16_mlp.up', '17_attn.o', '20_mlp.down', '21_mlp.up', '22_gate', '24_attn.o', '25_attn.q', '26_attn.o', '30_attn.o', '3_attn.o', '4_attn.o', '5_attn.k', '5_attn.o', '5_attn.q', '6_attn.o', '7_mlp.down', '8_attn.k', '8_mlp.down']", 'rank: 4']
Likes: 1 | All-time downloads: 5
Created: 2025-06-02 04:55:00