Medical ChatBot is an open-source language model by Mohammed-Altaf. Features: LLM, VRAM: 10.4GB, License: mit, Instruction-Based, LLM Explorer Score: 0.14, Arc: 30.5, HellaSwag: 38.6, MMLU: 25.9, GSM8K: 1.1.
Medical ChatBot Parameters and Internals
Model Type
Use Cases
Areas:
Limitations: Not intended for real medical settings, Not a substitute for professional medical advice
Considerations: Health concerns should be addressed by a licensed healthcare provider.
Supported Languages
Training Details
Data Sources: Mohammed-Altaf/medical-instruction-120k
Model Architecture:
Input Output
Input Format: The conversation begins with '[|Human|] {input}\n[|AI|]'.
Accepted Modalities:
Output Format: Textual response to the input question.
LLM Name Medical ChatBot Repository π€ https://huggingface.co/Mohammed-Altaf/Medical-ChatBot Required VRAM 10.4 GB Updated 2026-07-29 Maintainer Mohammed-Altaf Model Type gpt2 Instruction-Based Yes Model Files 10.4 GB Supported Languages en Model Architecture GPT2LMHeadModel License mit Model Max Length 1024 Transformers Version 4.26.1 Tokenizer Class GPT2Tokenizer Beginning of Sentence Token <|endoftext|> End of Sentence Token <|endoftext|> Unk Token <|endoftext|> Vocabulary Size 28896 Torch Data Type float32 Activation Function gelu_new Errors replace
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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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