Moxin 7B LLM by moxin-org

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  Arxiv:2412.06845   Autotrain compatible   Endpoints compatible   Gguf   Mistral   Pytorch   Quantized   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/moxin-org/Moxin-7B-LLM 

Moxin 7B LLM Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Moxin 7B LLM (moxin-org/Moxin-7B-LLM)
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Moxin 7B LLM Parameters and Internals

LLM NameMoxin 7B LLM
Repository ๐Ÿค—https://huggingface.co/moxin-org/Moxin-7B-LLM 
Model Size7b
Required VRAM0.9 GB
Updated2025-06-14
Maintainermoxin-org
Model Typemistral
Model Files  16.2 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   1.0 GB   0.9 GB   0.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than moxin-org/Moxin-7B-LLM.

Rank the Moxin 7B LLM 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 v20241124