Mistral Chem V1.1.6B by RaphaelMourad

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  Autotrain compatible   Chemistry   Endpoints compatible   Mistral   Mixtral   Moe   Pretrained   Region:us   Safetensors

Mistral Chem V1.1.6B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Chem V1.1.6B (RaphaelMourad/Mistral-Chem-v1-1.6B)

Mistral Chem V1.1.6B Parameters and Internals

Model Type 
transformer
Use Cases 
Areas:
chemistry
Additional Notes 
Mistral-Chem-v1-1.6B is a pretrained base model for chemistry.
Training Details 
Data Sources:
ZINC 15 database
Data Volume:
10M molecule SMILES strings
Model Architecture:
Transformer with Grouped-Query Attention, Sliding-Window Attention, Byte-fallback BPE tokenizer, Mixture of Experts
LLM NameMistral Chem V1.1.6B
Repository ๐Ÿค—https://huggingface.co/RaphaelMourad/Mistral-Chem-v1-1.6B 
Model Size1.6b
Required VRAM0 GB
Updated2024-12-05
MaintainerRaphaelMourad
Model Typemixtral
Model Files  3.2 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 Size1024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RaphaelMourad/Mistral-Chem-v1-1.6B.

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