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Medicine LLM GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Medicine LLM GGUF   URL Share it on

  685   
  Arxiv:2309.09530 Base model:adaptllm/medicine-l... Base model:quantized:adaptllm/...   Biology   Dataset:eleutherai/pile   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Gguf   Instruct   Llama   Medical   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/medicine-LLM-GGUF 

Medicine LLM GGUF Benchmarks

LLME Score: 0.18581
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medicine LLM GGUF (TheBloke/medicine-LLM-GGUF)

Medicine LLM GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
biomedicine, medical
Applications:
biomedical research, medical diagnostics
Primary Use Cases:
domain-specific text generation, research assistance
Limitations:
Not suitable for general chat applications outside biomedical field.
Considerations:
Better use the chat model variant for interactive and complex query sessions.
Additional Notes 
The model is designed to enhance domain-specific knowledge through continued pre-training.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
Open-Orca/OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k, EleutherAI/pile
Data Volume:
Not specified
Methodology:
Continued pre-training on domain-specific corpora using reading comprehension method
Context Length:
2048
Hardware Used:
Massed Compute
Model Architecture:
Transformer-based architecture derived from LLaMA-1-7B
Safety Evaluation 
Ethical Considerations:
Reading comprehension method to address domain knowledge inclusions while preserving question-answering abilities.
Responsible Ai Considerations 
Accountability:
AdaptLLM team and contributors
Input Output 
Input Format:
### User Input: {prompt} ### Assistant Output:
Accepted Modalities:
text
Output Format:
Generated text responses based on input prompts.
Performance Tips:
Use domain-specific prompts for best results.
Release Notes 
Version:
Initial Release
Date:
2023-09-18
Notes:
Launch of domain-specific model for medicine based on LLaMA-1-7B.
Version:
Expanded Model Family
Date:
2023-12-08
Notes:
Introduced chat models based on LLaMA-2-Chat-7B.
LLM NameMedicine LLM GGUF
Repository 🤗https://huggingface.co/TheBloke/medicine-LLM-GGUF 
Model NameMedicine LLM
Model CreatorAdaptLLM
Base Model(s)  Medicine LLM   AdaptLLM/medicine-LLM
Required VRAM2.5 GB
Updated2024-12-23
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/medicine-LLM-GGUF.

Rank the Medicine LLM GGUF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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