MedicalBitnet 250M by Siddharth63

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  Autotrain compatible Dataset:siddharth63/biological... Dataset:siddharth63/clinical d...   Endpoints compatible   Llama   Region:us   Safetensors

MedicalBitnet 250M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedicalBitnet 250M (Siddharth63/MedicalBitnet-250M)

MedicalBitnet 250M Parameters and Internals

Model Type 
causal LM, bit precision modifications
Additional Notes 
Specific code implementations demonstrate specialized bit quantization techniques for improved efficiency in computing activations and weights.
Training Details 
Data Sources:
PubMed, Clinical dataset
Data Volume:
7 billion tokens
Model Architecture:
Modified LLaMA with BitNet modifications
Input Output 
Input Format:
Text input
Output Format:
Generated text
LLM NameMedicalBitnet 250M
Repository ๐Ÿค—https://huggingface.co/Siddharth63/MedicalBitnet-250M 
Model Size8b
Required VRAM0 GB
Updated2025-02-22
MaintainerSiddharth63
Model Typellama
Model Files  0.9 GB   1.9 GB   0.0 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseartistic-2.0
Context Length768
Model Max Length768
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Siddharth63/MedicalBitnet-250M.

Rank the MedicalBitnet 250M 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227