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ModelHub XC 97116b4949 初始化项目，由ModelHub XC社区提供模型

Model: macadeliccc/Monarch-7B-SFT
Source: Original Platform

2026-05-08 14:42:05 +08:00

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初始化项目，由ModelHub XC社区提供模型

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config.json

初始化项目，由ModelHub XC社区提供模型

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generation_config.json

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初始化项目，由ModelHub XC社区提供模型

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初始化项目，由ModelHub XC社区提供模型

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model-00003-of-00003.safetensors

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model.safetensors.index.json

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README.md

初始化项目，由ModelHub XC社区提供模型

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special_tokens_map.json

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tokenizer_config.json

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tokenizer.json

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tokenizer.model

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README.md

license, model-index

license

model-index

apache-2.0

name

results

Monarch-7B-SFT

task

dataset

metrics

source

type	name
text-generation	Text Generation

name

type

config

split

args

AI2 Reasoning Challenge (25-Shot)

ai2_arc

ARC-Challenge

test

num_few_shot
25

type	value	name
acc_norm	63.74	normalized accuracy

url	name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Monarch-7B-SFT	Open LLM Leaderboard

task

dataset

metrics

source

type	name
text-generation	Text Generation

name

type

split

args

HellaSwag (10-Shot)

hellaswag

validation

num_few_shot
10

type	value	name
acc_norm	83.58	normalized accuracy

url	name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Monarch-7B-SFT	Open LLM Leaderboard

task

dataset

metrics

source

type	name
text-generation	Text Generation

name

type

config

split

args

MMLU (5-Shot)

cais/mmlu

all

test

num_few_shot
5

type	value	name
acc	64.11	accuracy

url	name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Monarch-7B-SFT	Open LLM Leaderboard

task

dataset

metrics

source

type	name
text-generation	Text Generation

name

type

config

split

args

TruthfulQA (0-shot)

truthful_qa

multiple_choice

validation

num_few_shot
0

type	value
mc2	54.25

url	name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Monarch-7B-SFT	Open LLM Leaderboard

task

dataset

metrics

source

type	name
text-generation	Text Generation

name

type

config

split

args

Winogrande (5-shot)

winogrande

winogrande_xl

validation

num_few_shot
5

type	value	name
acc	79.79	accuracy

url	name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Monarch-7B-SFT	Open LLM Leaderboard

task

dataset

metrics

source

type	name
text-generation	Text Generation

name

type

config

split

args

GSM8k (5-shot)

gsm8k

main

test

num_few_shot
5

type	value	name
acc	68.39	accuracy

url	name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Monarch-7B-SFT	Open LLM Leaderboard

Model Card for Model ID

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

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Language(s) (NLP): [More Information Needed]
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Model Sources [optional]

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Uses

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Out-of-Scope Use

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Bias, Risks, and Limitations

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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.

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Training Details

Training Data

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Training Procedure

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	68.98
AI2 Reasoning Challenge (25-Shot)	63.74
HellaSwag (10-Shot)	83.58
MMLU (5-Shot)	64.11
TruthfulQA (0-shot)	54.25
Winogrande (5-shot)	79.79
GSM8k (5-shot)	68.39