MHENNcodemathv2 by netcat420

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  Autotrain compatible   Dataset:netcat420/compsciv2   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

MHENNcodemathv2 Benchmarks

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

MHENNcodemathv2 Parameters and Internals

LLM NameMHENNcodemathv2
Repository ๐Ÿค—https://huggingface.co/netcat420/MHENNcodemathv2 
Model Size7.2b
Required VRAM28.9 GB
Updated2024-09-08
Maintainernetcat420
Model Typemistral
Model Files  4.4 GB   5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Vocabulary Size32000
Torch Data Typefloat32
MHENNcodemathv2 (netcat420/MHENNcodemathv2)

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Note: green Score (e.g. "73.2") means that the model is better than netcat420/MHENNcodemathv2.

Rank the MHENNcodemathv2 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 v2024072803