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Luxe 4B by FourOhFour

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  Autotrain compatible   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FourOhFour/Luxe_4B 

Luxe 4B Benchmarks

LLME Score: 0.22418
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Luxe 4B (FourOhFour/Luxe_4B)

Luxe 4B Parameters and Internals

Model Type 
derivative, healed, instruct tuned
Use Cases 
Primary Use Cases:
general assistant, RP model
Additional Notes 
Similar to Zenith, but with adjustments in learning rate and dataset.
Supported Languages 
en (high)
Training Details 
Data Sources:
70M high quality tokens
Methodology:
tuned at lower learning rate, added dataset
Context Length:
8000
LLM NameLuxe 4B
Repository 🤗https://huggingface.co/FourOhFour/Luxe_4B 
Model Size4b
Required VRAM9 GB
Updated2024-12-30
MaintainerFourOhFour
Model Typellama
Model Files  5.0 GB: 1-of-2   4.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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MagpieLM 4B SFT V0.1128K / 9 GB4383
Note: green Score (e.g. "73.2") means that the model is better than FourOhFour/Luxe_4B.

Rank the Luxe 4B Capabilities

🆘 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! 🌟

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 v20241227
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