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MNLP M2 Mcqa Model by sophiargh

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MNLP M2 Mcqa Model is an open-source language model by sophiargh. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas...   Conversational   Endpoints compatible   Generated from trainer   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/sophiargh/MNLP_M2_mcqa_model 

MNLP M2 Mcqa Model Benchmarks

LLME Score: 0.19354
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MNLP M2 Mcqa Model (sophiargh/MNLP_M2_mcqa_model)
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MNLP M2 Mcqa Model Parameters and Internals

LLM NameMNLP M2 Mcqa Model
Repository 🤗https://huggingface.co/sophiargh/MNLP_M2_mcqa_model 
Base Model(s)  Qwen/Qwen3-0.6B-Base   Qwen/Qwen3-0.6B-Base
Model Size0.6b
Required VRAM1.2 GB
Updated2026-02-27
Maintainersophiargh
Model Typeqwen3
Model Files  1.2 GB   0.0 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...ied Qwen3 0.6B Gabliterated V140K / 1.2 GB170
PARD Qwen3 0.6B40K / 1.5 GB30412
Note: green Score (e.g. "73.2") means that the model is better than sophiargh/MNLP_M2_mcqa_model.

Rank the MNLP M2 Mcqa Model Capabilities

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Instruction Following and Task Automation  
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Censorship and Alignment  
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Text Summarization and Feature Extraction  
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