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MedMitsu Instruct 11B by Himitsui

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  Autotrain compatible   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Himitsui/MedMitsu-Instruct-11B 

MedMitsu Instruct 11B Benchmarks

LLME Score: 0.1682
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedMitsu Instruct 11B (Himitsui/MedMitsu-Instruct-11B)

MedMitsu Instruct 11B Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
Medical queries, Instruction following
Limitations:
May hallucinate, Not suitable for verifying medical conditions
Additional Notes 
It supports Alpaca or regular chat format.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
32K Entries of Medical Data, 11K Rows of Raw Medical Text, 3K entries of Instruction Tasks
Methodology:
Solar Finetune
LLM NameMedMitsu Instruct 11B
Repository 🤗https://huggingface.co/Himitsui/MedMitsu-Instruct-11B 
Model Size11b
Required VRAM21.4 GB
Updated2024-12-22
MaintainerHimitsui
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to MedMitsu Instruct 11B

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Context / RAM
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Llama 3 16B Instruct V0.18K / 33.5 GB3145
Llama 3 11B Instruct RP GLUED8K / 22.2 GB603
Llama 3 11B Instruct8K / 22.1 GB543
Llama 3 Synatra 11B V18K / 23 GB6012
SyntheticMoist 11B V24K / 21.4 GB542
Antares 11B V14K / 21.4 GB1072
Tengentoppa 11B Instruct2K / 23.2 GB00
Tengentoppa 11B Instruct AWQ2K / 6.8 GB210
Note: green Score (e.g. "73.2") means that the model is better than Himitsui/MedMitsu-Instruct-11B.

Rank the MedMitsu Instruct 11B 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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