Progen2 Small Mix7 by hugohrban

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Progen2 Small Mix7 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Progen2 Small Mix7 (hugohrban/progen2-small-mix7)

Progen2 Small Mix7 Parameters and Internals

Model Type 
Protein Language Model
Additional Notes 
The model is one-directional and trained on 7 protein families, namely GPCRs, Globins, Core histones, Copper binding proteins, Dehydrins, Calreticulins, and P-loop ATPase.
Input Output 
Input Format:
Encoded protein sequences
Accepted Modalities:
text
Output Format:
Probability distribution over next tokens
LLM NameProgen2 Small Mix7
Repository ๐Ÿค—https://huggingface.co/hugohrban/progen2-small-mix7 
Model Size163.7m
Required VRAM0.6 GB
Updated2025-02-22
Maintainerhugohrban
Model Typeprogen
Model Files  0.6 GB
Model ArchitectureProGenForCausalLM
Licensebsd-3-clause
Transformers Version4.40.0
Tokenizer ClassGPT2Tokenizer
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than hugohrban/progen2-small-mix7.

Rank the Progen2 Small Mix7 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 v20241227