Mistral DNA V1 138M Bacteria by RaphaelMourad

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Mistral DNA V1 138M Bacteria Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral DNA V1 138M Bacteria (RaphaelMourad/Mistral-DNA-v1-138M-bacteria)

Mistral DNA V1 138M Bacteria Parameters and Internals

Model Type 
pretrained, generative DNA text model
Training Details 
Data Sources:
700 bacterial genomes with 10kb DNA sequences
Model Architecture:
Transformer model with Grouped-Query Attention, Sliding-Window Attention, Byte-fallback BPE tokenizer
LLM NameMistral DNA V1 138M Bacteria
Repository ๐Ÿค—https://huggingface.co/RaphaelMourad/Mistral-DNA-v1-138M-bacteria 
Model Size138.5m
Required VRAM0 GB
Updated2025-02-05
MaintainerRaphaelMourad
Model Typemixtral
Model Files  0.3 GB   0.0 GB   0.0 GB
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length512
Model Max Length512
Transformers Version4.37.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size4096
Torch Data Typebfloat16

Best Alternatives to Mistral DNA V1 138M Bacteria

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Mistral DNA V1 138M Yeast0.5K / 0 GB1421
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Note: green Score (e.g. "73.2") means that the model is better than RaphaelMourad/Mistral-DNA-v1-138M-bacteria.

Rank the Mistral DNA V1 138M Bacteria 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