MNLP M3 Mcqa Model by timarni

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  Autotrain compatible Base model:finetune:timarni/qw...   Base model:timarni/qwen3 dpo   Conversational Dataset:timarni/mnlp intstruct...   Endpoints compatible   Generated from trainer   Qwen3   Region:us   Safetensors

MNLP M3 Mcqa Model Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MNLP M3 Mcqa Model (timarni/MNLP_M3_mcqa_model)
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MNLP M3 Mcqa Model Parameters and Internals

LLM NameMNLP M3 Mcqa Model
Repository ๐Ÿค—https://huggingface.co/timarni/MNLP_M3_mcqa_model 
Base Model(s)  Qwen3 DPO   timarni/qwen3_dpo
Model Size596m
Required VRAM1.2 GB
Updated2025-09-03
Maintainertimarni
Model Typeqwen3
Model Files  1.2 GB
Model ArchitectureQwen3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.3
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 timarni/MNLP_M3_mcqa_model.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124