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Qwen2 1.5B Medical Qa Finetune by Irathernotsay

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Qwen2 1.5B Medical Qa Finetune is an open-source language model by Irathernotsay. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: mit, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Chatbot   Conversational   Endpoints compatible   Finetuned   Instruct   Langchain   Llama.cpp   Medical   Pinecone   Quantization   Qwen2   Region:us   Safetensors   Sft
Model Card on HF 🤗: https://huggingface.co/Irathernotsay/qwen2-1.5B-medical_qa-Finetune 

Qwen2 1.5B Medical Qa Finetune Benchmarks

LLME Score: 0.13686
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B Medical Qa Finetune (Irathernotsay/qwen2-1.5B-medical_qa-Finetune)
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Qwen2 1.5B Medical Qa Finetune Parameters and Internals

Additional Notes 
This model card indicates that more detailed information on certain model specifics is needed. The current card is automatically generated with placeholders for missing information.
LLM NameQwen2 1.5B Medical Qa Finetune
Repository 🤗https://huggingface.co/Irathernotsay/qwen2-1.5B-medical_qa-Finetune 
Model Size1.5b
Required VRAM3.1 GB
Updated2026-04-20
MaintainerIrathernotsay
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Irathernotsay/qwen2-1.5B-medical_qa-Finetune.

Rank the Qwen2 1.5B Medical Qa Finetune Capabilities

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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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