MNLP M3 Mcqa Model PreFineTuned by youssefbelghmi

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MNLP M3 Mcqa Model PreFineTuned is an open-source language model by youssefbelghmi. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas...   Conversational Dataset:youssefbelghmi/mnlp m3...   Endpoints compatible   Generated from trainer   Qwen3   Region:us   Safetensors   Sft   Trl

MNLP M3 Mcqa Model PreFineTuned 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 PreFineTuned Parameters and Internals

LLM NameMNLP M3 Mcqa Model PreFineTuned
Repository 🤗https://huggingface.co/youssefbelghmi/MNLP_M3_mcqa_model_PreFineTuned 
Model NameMNLP_M3_mcqa_model_PreFineTuned
Base Model(s)  Qwen/Qwen3-0.6B-Base   Qwen/Qwen3-0.6B-Base
Model Size0.6b
Required VRAM1.2 GB
Updated2025-09-19
Maintaineryoussefbelghmi
Model Typeqwen3
Model Files  1.2 GB   0.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.53.0.dev0
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 youssefbelghmi/MNLP_M3_mcqa_model_PreFineTuned.

Rank the MNLP M3 Mcqa Model PreFineTuned 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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Release v20260328a