Model: Mercity/Qwen3-8B-LaCo-30L
Author: Mercity
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, qwen3, text-generation, pruning, layer-pruning, laco, compressed, llm, efficient, conversational, en, zh, multilingual, dataset:wikipedia, arxiv:2402.11187, arxiv:2505.09388, base_model:Qwen/Qwen3-8B-Base, base_model:finetune:Qwen/Qwen3-8B-Base, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: Qwen/Qwen3-8B-Base
Card metadata: license: apache-2.0
base_model: Qwen/Qwen3-8B-Base
tags: pruning, layer-pruning, laco, compressed, qwen3, llm, efficient
library_name: transformers
pipeline_tag: text-generation
language: en, zh, multilingual
datasets: wikipedia
model-index: name: Qwen3-8B-LaCo-Pruned
results: task: type: text-generation
name: Text Generation
dataset: name: PIQA
type: piqa
metrics: type: accuracy_norm
value: 71.38
name: Accuracy (Normalized)
verified: no, task: type: text-generation
name: Text Generation
dataset: name: HellaSwag
type: hellaswag
metrics: type: accuracy_norm
value: 61.98
name: Accuracy (Normalized)
verified: no, task: type: text-generation
name: Text Generation
dataset: name: BoolQ
type: boolq
metrics: type: accuracy
value: 64.95
name: Accuracy
verified: no, task: type: text-generation
name: Text Generation
dataset: name: WinoGrande
type: winogrande
metrics: type: accuracy
value: 62.83
name: Accuracy
verified: no, task: type: text-generation
name: Text Generation
dataset: name: ARC-Challenge
type: arc_challenge
metrics: type: accuracy_norm
value: 36.09
name: Accuracy (Normalized)
verified: no, task: type: text-generation
name: Text Generation
dataset: name: ARC-Easy
type: arc_easy
metrics: type: accuracy_norm
value: 58.04
name: Accuracy (Normalized)
verified: no, task: type: text-generation
name: Text Generation
dataset: name: MMLU
type: mmlu
metrics: type: accuracy
value: 31.3
name: Accuracy (5-shot)
verified: no
Likes: 0 | All-time downloads: 13
Created: 2025-12-30 13:57:11