Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 by graliuce

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins...   Conversational   Dataset:graliuce/medmcqa.20.01   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 (graliuce/Qwen2.5-3B-Instruct_MedMCQA.20.01_1.0e-5)
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Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 Parameters and Internals

LLM NameQwen2.5 3B Instruct MedMCQA.20.01 1.0e 5
Repository ๐Ÿค—https://huggingface.co/graliuce/Qwen2.5-3B-Instruct_MedMCQA.20.01_1.0e-5 
Model NameQwen2.5-3B-Instruct_MedMCQA.20.01_1.0e-5
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2025-06-17
Maintainergraliuce
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than graliuce/Qwen2.5-3B-Instruct_MedMCQA.20.01_1.0e-5.

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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 v20241124