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ProLLaMA by GreatCaptainNemo

 »  All LLMs  »  GreatCaptainNemo  »  ProLLaMA   URL Share it on

  1062   
  Arxiv:2402.16445   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/GreatCaptainNemo/ProLLaMA 

ProLLaMA Benchmarks

LLME Score: 0.15207
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ProLLaMA (GreatCaptainNemo/ProLLaMA)
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ProLLaMA Parameters and Internals

Model Type 
protein language processing
Input Output 
Input Format:
[Generate by superfamily] Superfamily= or [Determine superfamily] Seq=
Accepted Modalities:
text
Output Format:
Protein language outputs
Performance Tips:
Ensure CUDA is available and use GPU for optimal performance.
LLM NameProLLaMA
Repository 🤗https://huggingface.co/GreatCaptainNemo/ProLLaMA 
Model Size6.7b
Required VRAM13.5 GB
Updated2025-09-30
MaintainerGreatCaptainNemo
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the ProLLaMA 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 v20241124
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