Xenith 3B by XeroCodes

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  Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-3-min...   Conversational Dataset:alignmentlab-ai/alpaca...   En   Finetuned   Instruct   Lora   Mistral   Peft   Region:us   Safetensors   Sharded   Tensorflow

Xenith 3B Benchmarks

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

Xenith 3B Parameters and Internals

LLM NameXenith 3B
Repository ๐Ÿค—https://huggingface.co/XeroCodes/xenith-3b 
Base Model(s)  Phi 3 Mini 4K Instruct   microsoft/Phi-3-mini-4k-instruct
Model Size3b
Required VRAM7.6 GB
Updated2024-09-16
MaintainerXeroCodes
Instruction-BasedYes
Model Files  0.1 GB   5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|v_proj|q_proj|gate_proj|o_proj|up_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Xenith 3B (XeroCodes/xenith-3b)

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Rank the Xenith 3B 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