ViMedQwen500M AbstractiveQA RAG by ViHealthcare

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Lora   Qwen2   Region:us   Safetensors   Tensorboard

ViMedQwen500M AbstractiveQA RAG Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ViMedQwen500M AbstractiveQA RAG (ViHealthcare/ViMedQwen500M_abstractiveQA_RAG)

ViMedQwen500M AbstractiveQA RAG Parameters and Internals

LLM NameViMedQwen500M AbstractiveQA RAG
Repository ๐Ÿค—https://huggingface.co/ViHealthcare/ViMedQwen500M_abstractiveQA_RAG 
Model Size495.2m
Required VRAM0 GB
Updated2025-02-22
MaintainerViHealthcare
Model Files  0.0 GB   2.0 GB   0.0 GB
Model ArchitectureAutoModelForCausalLM
Model Max Length32768
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|o_proj|v_proj|k_proj
LoRA Alpha16
LoRA Dropout0.1
R Param8
Errorsreplace

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227