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Q SS 0.5B Reasoning Math by saadxsalman

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Q SS 0.5B Reasoning Math is an open-source language model by saadxsalman. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational Dataset:open-r1/openr1-math-22...   Dataset:openai/gsm8k   En   Endpoints compatible   Grpo   Gsm8k   Instruct   Math   Qwen2   Qwen2.5   Reasoning   Region:us   Safetensors   Structured-output   Unsloth
Model Card on HF 🤗: https://huggingface.co/saadxsalman/Q-SS-0.5B-Reasoning-Math 

Q SS 0.5B Reasoning Math Benchmarks

LLME Score: 0.32144
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Q SS 0.5B Reasoning Math (saadxsalman/Q-SS-0.5B-Reasoning-Math)
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Q SS 0.5B Reasoning Math Parameters and Internals

LLM NameQ SS 0.5B Reasoning Math
Repository 🤗https://huggingface.co/saadxsalman/Q-SS-0.5B-Reasoning-Math 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2026-05-14
Maintainersaadxsalman
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than saadxsalman/Q-SS-0.5B-Reasoning-Math.

Rank the Q SS 0.5B Reasoning Math 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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