AlphaMonarch 7B by mlabonne

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  Autotrain compatible Base model:finetune:mlabonne/n... Base model:mlabonne/neuralmona...   Conversational   Dpo   En   Endpoints compatible   Lazymergekit   Merge   Mistral   Model-index   Region:us   Rlhf   Safetensors   Sharded   Tensorflow

AlphaMonarch 7B Benchmarks

AlphaMonarch 7B (mlabonne/AlphaMonarch-7B)

AlphaMonarch 7B Parameters and Internals

Model Type 
DPO, text-generation
Use Cases 
Primary Use Cases:
conversations, RP, storytelling
Additional Notes 
AlphaMonarch-7B is a DPO merge that combines reasoning and conversational abilities, offering a balanced performance in generating text and other outputs.
Training Details 
Data Sources:
argilla/OpenHermes2.5-dpo-binarized-alpha
Context Length:
8000
LLM NameAlphaMonarch 7B
Repository ๐Ÿค—https://huggingface.co/mlabonne/AlphaMonarch-7B 
Base Model(s)  NeuralMonarch 7B   mlabonne/NeuralMonarch-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-02-15
Maintainermlabonne
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 Version4.38.0.dev0
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 mlabonne/AlphaMonarch-7B.

Rank the AlphaMonarch 7B Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227