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Cyber18 by Kaballas

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  Autotrain compatible Base model:finetune:kaballas/c...   Base model:kaballas/cyber16   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Kaballas/Cyber18 

Cyber18 Benchmarks

LLME Score: 0.21732
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cyber18 (Kaballas/Cyber18)

Cyber18 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Supported Languages 
en (native)
Training Details 
Methodology:
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameCyber18
Repository 🤗https://huggingface.co/Kaballas/Cyber18 
Base Model(s)  Cyber16   Kaballas/Cyber16
Model Size8b
Required VRAM16.1 GB
Updated2025-01-25
MaintainerKaballas
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Kaballas/Cyber18.

Rank the Cyber18 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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