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Medicine LLM 13B by AdaptLLM

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  Arxiv:2309.09530   Arxiv:2406.14491   Autotrain compatible   Biology   Dataset:eleutherai/pile   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Endpoints compatible   Instruct   Llama   Medical   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Medicine LLM 13B Benchmarks

LLME Score: 0.1828
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Medicine LLM 13B Parameters and Internals

LLM NameMedicine LLM 13B
Repository 🤗https://huggingface.co/AdaptLLM/medicine-LLM-13B 
Model Size13b
Required VRAM52.1 GB
Updated2024-09-20
MaintainerAdaptLLM
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-6   9.9 GB: 2-of-6   9.9 GB: 3-of-6   9.9 GB: 4-of-6   9.9 GB: 5-of-6   2.5 GB: 6-of-6   10.0 GB: 1-of-6   9.9 GB: 2-of-6   9.9 GB: 3-of-6   9.9 GB: 4-of-6   9.9 GB: 5-of-6   2.5 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Padding Token<pad>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16
Medicine LLM 13B (AdaptLLM/medicine-LLM-13B)

Quantized Models of the Medicine LLM 13B

Model
Likes
Downloads
VRAM
Medicine LLM 13B GGUF156505 GB
Medicine LLM 13B GPTQ3317 GB
Medicine LLM 13B AWQ6107 GB

Best Alternatives to Medicine LLM 13B

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Context / RAM
Downloads
Likes
NexusRaven V2 13B16K / 26 GB9701458
CodeLlama 13B Instruct Hf16K / 26 GB16593142
CodeLlama 13B Instruct Hf16K / 26 GB202710
TableLLM 13B16K / 26 GB66619
NexusRaven 13B16K / 26 GB68102
Panda Coder 13B16K / 26 GB2113
... Llama 2 13B Instruct Text2sql16K / 26 GB12026
Gen Sim16K / 0.3 GB72
Llama 3 13B Instruct Ft8K / 26.1 GB102
Llama 2 13B SoftwareReq8K / 16.1 GB60
Note: green Score (e.g. "73.2") means that the model is better than AdaptLLM/medicine-LLM-13B.

Rank the Medicine LLM 13B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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