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Medicine LLM AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Medicine LLM AWQ   URL Share it on

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  Arxiv:2309.09530   4-bit   Autotrain compatible   Awq Base model:adaptllm/medicine-l... Base model:quantized:adaptllm/...   Biology   Dataset:eleutherai/pile   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Instruct   Llama   Medical   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/medicine-LLM-AWQ 

Medicine LLM AWQ Benchmarks

LLME Score: 0.16878
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medicine LLM AWQ (TheBloke/medicine-LLM-AWQ)

Medicine LLM AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
text generation
Additional Notes 
Supports lower-bit quantization for faster inference using techniques like AWQ.
Supported Languages 
en (English)
Training Details 
Data Sources:
Open-Orca/OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k, EleutherAI/pile
Methodology:
transform large-scale pre-training corpora into reading comprehension texts
Context Length:
2048
Model Architecture:
Adaptation of LLaMA-1-7B for domain-specific use
Input Output 
Input Format:
### User Input: {prompt} ### Assistant Output:
Accepted Modalities:
text
LLM NameMedicine LLM AWQ
Repository 🤗https://huggingface.co/TheBloke/medicine-LLM-AWQ 
Model NameMedicine LLM
Model CreatorAdaptLLM
Base Model(s)  Medicine LLM   AdaptLLM/medicine-LLM
Model Size1.1b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/medicine-LLM-AWQ.

Rank the Medicine LLM AWQ 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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