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ReidLM by Tanvi03

 »  All LLMs  »  Tanvi03  »  ReidLM   URL Share it on

  16   
  Arxiv:1910.09700   Autotrain compatible   Conversational   En   Endpoints compatible   Llama   Llama3   Rare disease   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Tanvi03/ReidLM 

ReidLM Benchmarks

LLME Score: 0.18475
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReidLM (Tanvi03/ReidLM)

ReidLM Parameters and Internals

Model Type 
Transformer-based Large Language Model (LLM)
Use Cases 
Areas:
healthcare, education
Applications:
diagnosing and managing rare diseases, training medical students and professionals
Primary Use Cases:
generating insightful information, educational tool for rare diseases
Limitations:
non-medical domains, general conversational AI
Supported Languages 
English (fluent)
Training Details 
Data Sources:
Evol-Instruct question-and-answer dataset
Data Volume:
over 400 rare diseases
Methodology:
Evol-Instruct methodology
Responsible Ai Considerations 
Mitigation Strategies:
There is a risk of over-reliance on AI for medical decisions, which should always be validated by healthcare professionals.
LLM NameReidLM
Repository 🤗https://huggingface.co/Tanvi03/ReidLM 
Model Size8b
Required VRAM26.2 GB
Updated2025-03-18
MaintainerTanvi03
Model Typellama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   4.8 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   1.6 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Tanvi03/ReidLM.

Rank the ReidLM 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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Release v20241227
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