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Qwen Math SFT by mostafa-nasr14

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Qwen Math SFT is an open-source language model by mostafa-nasr14. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.24.

  Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mostafa-nasr14/Qwen-Math-SFT 

Qwen Math SFT Benchmarks

LLME Score: 0.24336
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen Math SFT (mostafa-nasr14/Qwen-Math-SFT)
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Qwen Math SFT Parameters and Internals

LLM NameQwen Math SFT
Repository 🤗https://huggingface.co/mostafa-nasr14/Qwen-Math-SFT 
Model Size0.5b
Required VRAM2 GB
Updated2026-05-12
Maintainermostafa-nasr14
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

Best Alternatives to Qwen Math SFT

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Qwen2 0.5B Abyme Merge3128K / 1.3 GB231
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Qwen2.5 0.5B Instruct32K / 1 GB6089483505
...5 0.5B Instruct Abliterated Ru32K / 2 GB4320
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BoyBarley Sparky V332K / 1 GB2250
Qwen2 0.5B Instruct32K / 1 GB1440477200
DAC5.4 0.5B32K / 1 GB340
...ext Aware Abstention Qwen 0.5B32K / 2 GB480
Note: green Score (e.g. "73.2") means that the model is better than mostafa-nasr14/Qwen-Math-SFT.

Rank the Qwen Math SFT Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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