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PRIME DeCyphers Final by Klevin

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  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2b-bn...   En   Endpoints compatible   Gemma   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Klevin/PRIME-DeCyphers-Final 

PRIME DeCyphers Final Benchmarks

LLME Score: 0.20276
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PRIME DeCyphers Final (Klevin/PRIME-DeCyphers-Final)

PRIME DeCyphers Final Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NamePRIME DeCyphers Final
Repository 🤗https://huggingface.co/Klevin/PRIME-DeCyphers-Final 
Base Model(s)  Gemma 2B Bnb 4bit   unsloth/gemma-2b-bnb-4bit
Model Size2b
Required VRAM5.1 GB
Updated2024-12-22
MaintainerKlevin
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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

Rank the PRIME DeCyphers Final 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 v20241217
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