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Llama 2 Medical Consultation by Ashishkr

 »  All LLMs  »  Ashishkr  »  Llama 2 Medical Consultation   URL Share it on

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  Adapter   Autotrain Base model:adapter:meta-llama/... Base model:meta-llama/llama-2-...   Finetuned   Ggml   Lora   Meta-llama   Meta-llama/llama-2-7b-hf   Peft   Quantized   Region:us   Tensorboard

Llama 2 Medical Consultation Benchmarks

LLME Score: 0.1374
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 2 Medical Consultation Parameters and Internals

Model Type 
text generation
Additional Notes 
Model is fine-tuned for medical consultation
Input Output 
Input Format:
Instruction and input text for medical consultation
Accepted Modalities:
text
Output Format:
Generated response text
Performance Tips:
Use recommended hardware for optimal performance.
LLM NameLlama 2 Medical Consultation
Repository 🤗https://huggingface.co/Ashishkr/llama-2-medical-consultation 
Base Model(s)  Llama 2 7B Hf   meta-llama/Llama-2-7b-hf
Model Size7b
Required VRAM0 GB
Updated2024-11-19
MaintainerAshishkr
Model Files  0.0 GB   0.0 GB   0.0 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAdapter
Model Max Length1024
Is Biasednone
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
Llama 2 Medical Consultation (Ashishkr/llama-2-medical-consultation)

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Note: green Score (e.g. "73.2") means that the model is better than Ashishkr/llama-2-medical-consultation.

Rank the Llama 2 Medical Consultation 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 v20241110
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