Fine Tuned Progen2 Large by AntibodyGeneration

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  Arxiv:2206.13517   Autotrain compatible   Progen   Region:us   Safetensors   Sharded   Tensorflow

Fine Tuned Progen2 Large Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fine Tuned Progen2 Large (AntibodyGeneration/fine-tuned-progen2-large)

Fine Tuned Progen2 Large Parameters and Internals

Model Type 
Protein Generation
Use Cases 
Areas:
immunology, vaccine development, and medical treatments
Applications:
bioinformatics, molecular biology, and related fields
Primary Use Cases:
Generation of therapeutic antibody sequences
Training Details 
Data Sources:
genomic, metagenomic, and immune repertoire databases, Structural Antibody Database
Data Volume:
280 million samples
Model Architecture:
ProGen2 architecture
LLM NameFine Tuned Progen2 Large
Repository ๐Ÿค—https://huggingface.co/AntibodyGeneration/fine-tuned-progen2-large 
Model Size2.8b
Required VRAM11.3 GB
Updated2025-02-22
MaintainerAntibodyGeneration
Model Typeprogen
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.3 GB: 3-of-3
Model ArchitectureProGenForCausalLM
Transformers Version4.35.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size51200
Torch Data Typefloat32
Activation Functiongelu_new

Best Alternatives to Fine Tuned Progen2 Large

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Progen2 Large0K / 5.6 GB4780
Note: green Score (e.g. "73.2") means that the model is better than AntibodyGeneration/fine-tuned-progen2-large.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227