Moxin Llm 7B 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-llm-7b 

Moxin Llm 7B Benchmarks

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

Moxin Llm 7B Parameters and Internals

LLM NameMoxin Llm 7B
Repository ๐Ÿค—https://huggingface.co/moxin-org/moxin-llm-7b 
Model Size7b
Required VRAM0.9 GB
Updated2024-12-22
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-llm-7b.

Rank the Moxin Llm 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217