Nexim 7B by 222limin

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  Merged Model   Autotrain compatible   Endpoints compatible   License:apache-2.0   Liminerity/m3   Liminerity/m7-7b   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Nexim 7B Benchmarks

nn.n% — How the model compares to the GPT-4.

Rank the Nexim 7B Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  
Nexim 7B (gate369/Nexim-7b)

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Note: green Score (e.g. "73.2") means that the model is better than gate369/Nexim-7b.

Nexim 7B Parameters and Internals

LLM NameNexim 7B
RepositoryOpen on ๐Ÿค— 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-06-24
Maintainer222limin
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801