NeuralMonarch 7B GPTQ by LoneStriker

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  4-bit   Autotrain compatible   Base model:mlabonne/monarch-7b Base model:quantized:mlabonne/...   Conversational   Dpo   En   Endpoints compatible   Gptq   Lazymergekit   Merge   Mistral   Quantized   Region:us   Rlhf   Safetensors

NeuralMonarch 7B GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralMonarch 7B GPTQ (LoneStriker/NeuralMonarch-7B-GPTQ)

NeuralMonarch 7B GPTQ Parameters and Internals

Model Type 
DPO, text generation
Use Cases 
Areas:
research, commercial
Primary Use Cases:
instruction following, reasoning tasks
Considerations:
I recommend using it with the Mistral Instruct chat template.
Supported Languages 
language (en)
Training Details 
Data Sources:
mlabonne/truthy-dpo-v0.1, mlabonne/distilabel-intel-orca-dpo-pairs
Context Length:
8000
LLM NameNeuralMonarch 7B GPTQ
Repository ๐Ÿค—https://huggingface.co/LoneStriker/NeuralMonarch-7B-GPTQ 
Base Model(s)  Monarch 7B   mlabonne/Monarch-7B
Model Size7b
Required VRAM4.6 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typemistral
Model Files  4.6 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
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 LoneStriker/NeuralMonarch-7B-GPTQ.

Rank the NeuralMonarch 7B GPTQ 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 v20241217