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Mistral DNA V1 422M Hg38 by RaphaelMourad

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  Autotrain compatible   Dna   Endpoints compatible   Mistral   Mixtral   Moe   Pretrained   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/RaphaelMourad/Mistral-DNA-v1-422M-hg38 

Mistral DNA V1 422M Hg38 Benchmarks

LLME Score: 0.19259
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 422M Hg38 (RaphaelMourad/Mistral-DNA-v1-422M-hg38)

Mistral DNA V1 422M Hg38 Parameters and Internals

Model Type 
pretrained, DNA, Mistral, Large Language Model, Transformer
Additional Notes 
Mistral-DNA-v1-422M-hg38 is a pretrained base model for DNA.
Training Details 
Data Sources:
10kb DNA sequences from the hg38 human genome assembly
Model Architecture:
Transformer model with Grouped-Query Attention, Sliding-Window Attention, and Byte-fallback BPE tokenizer; Mixture of Experts
LLM NameMistral DNA V1 422M Hg38
Repository 🤗https://huggingface.co/RaphaelMourad/Mistral-DNA-v1-422M-hg38 
Model Size421.6m
Required VRAM0 GB
Updated2025-02-22
MaintainerRaphaelMourad
Model Typemixtral
Model Files  0.8 GB   0.0 GB   0.0 GB
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length512
Model Max Length512
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size4096
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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