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Medalpaca Medalpaca 7B 4bits by RichardErkhov

 »  All LLMs  »  RichardErkhov  »  Medalpaca Medalpaca 7B 4bits   URL Share it on

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  Arxiv:2303.14070   4-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Llama   Medical   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/medalpaca_-_medalpaca-7b-4bits 

Medalpaca Medalpaca 7B 4bits Benchmarks

LLME Score: 0.18739
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medalpaca Medalpaca 7B 4bits (RichardErkhov/medalpaca_-_medalpaca-7b-4bits)

Medalpaca Medalpaca 7B 4bits Parameters and Internals

Model Type 
text generation, question answering
Use Cases 
Areas:
Medical domain tasks
Applications:
Question-answering, Medical dialogues
Primary Use Cases:
Medical question-answering, Medical dialogue systems
Limitations:
Not effective outside the medical domain, Targets medical student level knowledge, Not tested in real-world applications
Considerations:
Not a substitute for a doctor's opinion.
Supported Languages 
en ()
Training Details 
Data Sources:
Anki flashcards, Wikidoc, StackExchange (Academia, Bioinformatics, Biology, Fitness, Health), ChatDoctor
Data Volume:
Approximately hundreds of thousands of question-answer pairs
Methodology:
Fine-tuning for the medical domain
Model Architecture:
Based on LLaMA (Large Language Model Meta AI)
Safety Evaluation 
Ethical Considerations:
The model should not replace a doctor's advice and must be treated as a research tool.
Input Output 
Input Format:
Structured prompt format with context and question
Accepted Modalities:
text
Output Format:
Generated text answers
LLM NameMedalpaca Medalpaca 7B 4bits
Repository 🤗https://huggingface.co/RichardErkhov/medalpaca_-_medalpaca-7b-4bits 
Model Size7b
Required VRAM4.2 GB
Updated2025-02-22
MaintainerRichardErkhov
Model Typellama
Model Files  4.2 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc
Context Length2048
Model Max Length2048
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than RichardErkhov/medalpaca_-_medalpaca-7b-4bits.

Rank the Medalpaca Medalpaca 7B 4bits 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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Release v20241227
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