Model: Word2Li/Llama3.1-8B-Middo-Wizard
Author: Word2Li
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, llama, text-generation, llama-factory, full, conversational, en, dataset:Word2Li/MiddOptimized, arxiv:2508.21589, base_model:meta-llama/Llama-3.1-8B, base_model:finetune:meta-llama/Llama-3.1-8B, license:llama3.1, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: meta-llama/Llama-3.1-8B
Card metadata: library_name: transformers
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
language: en
datasets: Word2Li/MiddOptimized
tags: llama-factory, full
pipeline_tag: text-generation
model-index: name: Llama3.1-8B-Middo-Wizard
results: task: type: text-generation
dataset: name: MMLU
type: MMLU
metrics: name: weighted accuracy
type: weighted accuracy
value: 48.39
verified: no, task: type: text-generation
dataset: name: IFEval
type: IFEval
metrics: name: overall accuracy
type: overall accuracy
value: 50.11
verified: no, task: type: text-generation
dataset: name: GSM8K
type: GSM8K
metrics: name: accuracy
type: accuracy
value: 54.44
verified: no, task: type: text-generation
dataset: name: MATH
type: MATH
metrics: name: accuracy
type: accuracy
value: 13.8
verified: no, task: type: text-generation
dataset: name: HumanEval
type: HumanEval
metrics: name: humaneval_pass@1
type: humaneval_pass@1
value: 46.95
verified: no, task: type: text-generation
dataset: name: MBPP
type: MBPP
metrics: name: score
type: score
value: 45
verified: no, task: type: text-generation
dataset: name: Hellaswag
type: Hellaswag
metrics: name: accuracy
type: accuracy
value: 63.54
verified: no, task: type: text-generation
dataset: name: GPQA
type: GPQA
metrics: name: accuracy
type: accuracy
value: 20.2
verified: no
metrics: accuracy
Likes: 2 | All-time downloads: 45
Created: 2025-09-12 14:28:52