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Medalpaca 13B GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Medalpaca 13B GPTQ   URL Share it on

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  Arxiv:2303.14070   4-bit   Autotrain compatible Base model:medalpaca/medalpaca... Base model:quantized:medalpaca...   En   Gptq   Llama   Medical   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/medalpaca-13B-GPTQ 

Medalpaca 13B GPTQ Benchmarks

LLME Score: 0.08444
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medalpaca 13B GPTQ (TheBloke/medalpaca-13B-GPTQ)
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Medalpaca 13B GPTQ Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
Medical question-answering, Medical dialogue tasks
Limitations:
May not perform effectively outside the medical domain, Training data targets knowledge level of medical students, may limit addressing needs of board-certified physicians, Not tested in real-world applications, Must not be used as a substitute for a doctor’s opinion, should be treated as a research tool
Training Details 
Data Sources:
Anki flashcards, Wikidoc, StackExchange, ChatDoctor
Model Architecture:
Based on LLaMA (Large Language Model Meta AI), specifically fine-tuned for medical domain tasks.
Input Output 
Input Format:
prompt_template
Accepted Modalities:
text
Output Format:
text
LLM NameMedalpaca 13B GPTQ
Repository 🤗https://huggingface.co/TheBloke/medalpaca-13B-GPTQ 
Model NameMedalpaca 13B
Model Creatormedalpaca
Base Model(s)  Medalpaca 13B   medalpaca/medalpaca-13b
Model Size13b
Required VRAM7.3 GB
Updated2025-08-17
MaintainerTheBloke
Model Typellama
Model Files  7.3 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Model Max Length512
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32001
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/medalpaca-13B-GPTQ.

Rank the Medalpaca 13B GPTQ 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  
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