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Monarch 7B by mlabonne

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Monarch 7B is an open-source language model by mlabonne. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, Merged, LLM Explorer Score: 0.12, Arc: 73, HellaSwag: 89, MMLU: 64.4, GSM8K: 69.1.

  Merged Model Base model:mlabonne/neubeagle-... Base model:mlabonne/neuralomni... Base model:mlabonne/omnitruthy...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/Monarch-7B 

Monarch 7B Benchmarks

ARC: 73.04 vs 96.7 (so35)-24.5%
HellaSwag: 89.03 vs 95.3 (gpt4)-6.6%
MMLU: 64.41 vs 88.3 (so35)-27.1%
GSM8K: 69.07 vs 96.4 (so35)-28.4%
LLME Score: 0.12337
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Monarch 7B (mlabonne/Monarch-7B)
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Monarch 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, academic evaluation
Applications:
language generation tasks, academic benchmarks
Primary Use Cases:
text generation, answering academic questions
Limitations:
Not suitable for commercial use., Performance may vary based on input modalities.
Considerations:
Performance on academic datasets varies; benchmark evaluations should be consulted.
Additional Notes 
Monarch-7B leverages merged models for enhanced performance on text generation tasks.
Training Details 
Data Sources:
AI2 Reasoning Challenge, HellaSwag, MMLU, TruthfulQA, Winogrande, GSM8k
Methodology:
Training involved merging models using LazyMergekit.
Input Output 
Input Format:
chat messages in role-content format
Accepted Modalities:
text
Output Format:
generated text
LLM NameMonarch 7B
Repository 🤗https://huggingface.co/mlabonne/Monarch-7B 
Base Model(s)  OmniTruthyBeagle 7B V0   NeuBeagle 7B   NeuralOmniBeagle 7B   mlabonne/OmniTruthyBeagle-7B-v0   mlabonne/NeuBeagle-7B   mlabonne/NeuralOmniBeagle-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-05-10
Maintainermlabonne
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Monarch 7B

Model
Likes
Downloads
VRAM
NeuralMonarch 7B GPTQ064 GB

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Monarch-7B.

Rank the Monarch 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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