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DrugAssist 7B by blazerye

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  Ai for science   Autotrain compatible   Conversational   Drug discovery   Endpoints compatible   Gguf   Large language models   Llama   Molecule generation   Molecule optimization   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/blazerye/DrugAssist-7B 

DrugAssist 7B Benchmarks

LLME Score: 0.16108
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DrugAssist 7B (blazerye/DrugAssist-7B)
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DrugAssist 7B Parameters and Internals

Model Type 
molecule optimization
Use Cases 
Areas:
ai for science, drug discovery, molecule generation, molecule optimization
LLM NameDrugAssist 7B
Repository 🤗https://huggingface.co/blazerye/DrugAssist-7B 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
Maintainerblazerye
Model Typellama
Model Files  3.8 GB   10.0 GB: 1-of-2   3.5 GB: 2-of-2
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than blazerye/DrugAssist-7B.

Rank the DrugAssist 7B 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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Release v20241124
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