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MonarchLake 7B by macadeliccc

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MonarchLake 7B is an open-source language model by macadeliccc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, Merged, HF Score: 76.1, LLM Explorer Score: 0.13, Arc: 74.2, HellaSwag: 89.3, MMLU: 64.4, TruthfulQA: 75, WinoGrande: 85.5, GSM8K: 68.3.

  Merged Model Base model:finetune:mlabonne/a... Base model:mlabonne/alphamonar...   Conversational   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/macadeliccc/MonarchLake-7B 

MonarchLake 7B Benchmarks

ARC: 74.15 vs 96.7 (so35)-23.3%
HellaSwag: 89.29 vs 95.3 (gpt4)-6.3%
MMLU: 64.44 vs 88.3 (so35)-27%
TruthfulQA: 74.97 vs 59 (gpt4)27.1%
WinoGrande: 85.48 vs 87.5 (gpt4)-2.3%
GSM8K: 68.31 vs 96.4 (so35)-29.1%
LLME Score: 0.12594
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MonarchLake 7B (macadeliccc/MonarchLake-7B)
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MonarchLake 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was merged using the SLERP merge method, combining capabilities from the AlphaMonarch-7B and WestLake-7b-v2-laser-truthy-dpo models.
LLM NameMonarchLake 7B
Repository 🤗https://huggingface.co/macadeliccc/MonarchLake-7B 
Base Model(s)  macadeliccc/WestLake-7b-v2-laser-truthy-dpo   AlphaMonarch 7B   macadeliccc/WestLake-7b-v2-laser-truthy-dpo   mlabonne/AlphaMonarch-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-04-10
Maintainermacadeliccc
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 Version4.38.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the MonarchLake 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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