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Medicine Chat by AdaptLLM

 »  All LLMs  »  AdaptLLM  »  Medicine Chat   URL Share it on

  4222   
  Arxiv:2309.09530   Arxiv:2406.14491   Arxiv:2411.19930   Autotrain compatible   Biology   Dataset:eleutherai/pile   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Endpoints compatible   Instruct   Llama   Medical   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AdaptLLM/medicine-chat 

Medicine Chat Benchmarks

ARC: 53.75 vs 96.7 (so35)-44.4%
HellaSwag: 76.11 vs 95.3 (gpt4)-20.1%
MMLU: 49.98 vs 88.3 (so35)-43.4%
TruthfulQA: 43.46 vs 59 (gpt4)-26.3%
WinoGrande: 75.69 vs 87.5 (gpt4)-13.5%
GSM8K: 18.95 vs 96.4 (so35)-80.3%
LLME Score: 0.2285
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medicine Chat (AdaptLLM/medicine-chat)

Medicine Chat Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
biology, medical
Additional Notes 
The model is adapted for specific domains like biomedicine by transforming large-scale pre-training corpora into reading comprehension texts.
Training Details 
Data Sources:
EleutherAI/pile, Open-Orca/OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k
Methodology:
Continual pre-training on domain-specific corpora with a focus on improving prompting performance through reading comprehension techniques.
Model Architecture:
Transformer-based architecture similar to LLaMA-2-Chat
Release Notes 
Version:
2nd Version
Date:
2024/6/21
Notes:
Release of 2nd version for both pre-training from scratch and continual pre-training.
Version:
2023/12/8
Date:
2023/12/8
Notes:
Released chat models developed from LLaMA-2-Chat-7B.
LLM NameMedicine Chat
Repository 🤗https://huggingface.co/AdaptLLM/medicine-chat 
Model Size6.7b
Required VRAM27 GB
Updated2024-12-22
MaintainerAdaptLLM
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Padding Token<pad>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16

Quantized Models of the Medicine Chat

Model
Likes
Downloads
VRAM
Medicine Chat GGUF5802 GB
Medicine Chat GGUF157562 GB
Medicine Chat GPTQ6343 GB
Medicine Chat AWQ3413 GB

Best Alternatives to Medicine Chat

Best Alternatives
Context / RAM
Downloads
Likes
...s Coder6.7b Reflct Adamw Iter116K / 13.5 GB4750
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB950
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB1100
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB870
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB900
...ir4 Ds Coder6.7b Rmsprop Iter116K / 13.5 GB430
Ds Coder6.7b Rmsprop Iter116K / 13.5 GB670
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB620
Speechless Coder Ds 6.7B16K / 13.5 GB11215
Magicoder S DS 6.7B16K / 27.1 GB1700200
Note: green Score (e.g. "73.2") means that the model is better than AdaptLLM/medicine-chat.

Rank the Medicine Chat 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 v20241217
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