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AlphaMonarch Daser by abideen

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AlphaMonarch Daser is an open-source language model by abideen. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, HF Score: 75.9, LLM Explorer Score: 0.13, Arc: 73, HellaSwag: 89.2, MMLU: 64.4, TruthfulQA: 78, WinoGrande: 84.7, GSM8K: 66.3.

  Axolotl Base model:finetune:mlabonne/n... Base model:mlabonne/neuralmona...   Chatml   Conversational Dataset:argilla/openhermes2.5-...   Distillation   En   Endpoints compatible   Finetuned   Generated from trainer   Gpt4   Instruct   Mistral   Region:us   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/abideen/AlphaMonarch-daser 

AlphaMonarch Daser Benchmarks

ARC: 73.04 vs 96.7 (so35)-24.5%
HellaSwag: 89.23 vs 95.3 (gpt4)-6.4%
MMLU: 64.43 vs 88.3 (so35)-27%
TruthfulQA: 78.01 vs 59 (gpt4)32.2%
WinoGrande: 84.69 vs 87.5 (gpt4)-3.2%
GSM8K: 66.26 vs 96.4 (so35)-31.3%
LLME Score: 0.13096
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AlphaMonarch Daser (abideen/AlphaMonarch-daser)
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AlphaMonarch Daser Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (proficient)
Training Details 
Data Sources:
argilla/OpenHermes2.5-dpo-binarized-alpha
Methodology:
LaserQlora and Dora techniques, DPO fine-tuning
LLM NameAlphaMonarch Daser
Repository 🤗https://huggingface.co/abideen/AlphaMonarch-daser 
Base Model(s)  NeuralMonarch 7B   mlabonne/NeuralMonarch-7B
Model Size7b
Required VRAM14.4 GB
Updated2026-03-31
Maintainerabideen
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than abideen/AlphaMonarch-daser.

Rank the AlphaMonarch Daser 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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