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Cyber6 by Kaballas

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  4bit   Autotrain compatible Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-...   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

Cyber6 Benchmarks

LLME Score: 0.28882
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Cyber6 Parameters and Internals

LLM NameCyber6
Repository 🤗https://huggingface.co/Kaballas/Cyber6 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit   unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-09-19
MaintainerKaballas
Model Typellama
Instruction-BasedYes
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
Quantization Type4bit
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 Typefloat16
Cyber6 (Kaballas/Cyber6)

Best Alternatives to Cyber6

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Context / RAM
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...B Instruct Gradient 1048K 4bit1024K / 4.5 GB12
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB41
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB102
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB50
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB625
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB516
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB13
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB51
...Instruct 262K HQQ 2bit Smashed256K / 4 GB202
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB31

Rank the Cyber6 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
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