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DECYPHERS PRIME 2.0 by Klevin

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  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Instruct   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth

DECYPHERS PRIME 2.0 Benchmarks

LLME Score: 0.22217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

DECYPHERS PRIME 2.0 Parameters and Internals

LLM NameDECYPHERS PRIME 2.0
Repository 🤗https://huggingface.co/Klevin/DECYPHERS-PRIME-2.0 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM0.2 GB
Updated2024-09-16
MaintainerKlevin
Instruction-BasedYes
Model Files  0.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|down_proj|q_proj|gate_proj|up_proj|o_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param16
DECYPHERS PRIME 2.0 (Klevin/DECYPHERS-PRIME-2.0)

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Note: green Score (e.g. "73.2") means that the model is better than Klevin/DECYPHERS-PRIME-2.0.

Rank the DECYPHERS PRIME 2.0 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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Release v2024072803
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