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MediChat Medium by ryorichie

 »  All LLMs  »  ryorichie  »  MediChat Medium   URL Share it on

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational Dataset:ryorichie/shortmedical...   Endpoints compatible   Id   Instruct   Mistral   Quantized   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/ryorichie/MediChat_Medium 

MediChat Medium Benchmarks

LLME Score: 0.2025
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MediChat Medium (ryorichie/MediChat_Medium)

MediChat Medium Parameters and Internals

Model Type 
Text Generation
Use Cases 
Considerations:
We want to address the challenges in accessing accurate and timely medical information, especially amidst issues such as long wait times for medical appointments, a shortage of medical professionals, temporal, geographical, and organizational barriers within the healthcare system, as well as limited access to healthcare resources. Our application aimed to provide a solution for individuals relying on online platforms for medical assistance by offering easier and more reliable access.
Supported Languages 
Indonesia (NLP)
LLM NameMediChat Medium
Repository 🤗https://huggingface.co/ryorichie/MediChat_Medium 
Model Size2.1b
Required VRAM2.3 GB
Updated2024-12-22
Maintainerryorichie
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesid
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16

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

Rank the MediChat Medium 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 v20241217
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