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Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 by Xiaojian9992024

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Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 is an open-source language model by Xiaojian9992024. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:cutelemonlili/qwen2... Base model:uwnsl/qwen2.5-1.5b-... Base model:xiaojian9992024/qwe...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp-v0.2 

Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 Benchmarks

LLME Score: 0.18167
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 (Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp-v0.2)
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Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 Parameters and Internals

LLM NameQwen2.5 Ultra 1.5B 25.02 Exp V0.2
Repository 🤗https://huggingface.co/Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp-v0.2 
Base Model(s)  cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B   Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp   UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT   cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_14B   Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp   UWNSL/Qwen2.5-1.5B-Instruct_Short_CoT
Merged ModelYes
Model Size1.5b
Required VRAM3.1 GB
Updated2025-09-18
MaintainerXiaojian9992024
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB: 1-of-1
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
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 Xiaojian9992024/Qwen2.5-Ultra-1.5B-25.02-Exp-v0.2.

Rank the Qwen2.5 Ultra 1.5B 25.02 Exp V0.2 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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