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Qwen2.5 1.5B Instruct MATH Training Response Qwen2.5 72B by cutelemonlili

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Qwen2.5 1.5B Instruct MATH Training Response Qwen2.5 72B is an open-source language model by cutelemonlili. Features: 72b LLM, VRAM: 3.1GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i...   Conversational   Endpoints compatible   Full   Generated from trainer   Instruct   Llama-factory   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_72B 

Qwen2.5 1.5B Instruct MATH Training Response Qwen2.5 72B Benchmarks

LLME Score: 0.16781
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B Instruct MATH Training Response Qwen2.5 72B (cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_72B)
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Qwen2.5 1.5B Instruct MATH Training Response Qwen2.5 72B Parameters and Internals

LLM NameQwen2.5 1.5B Instruct MATH Training Response Qwen2.5 72B
Repository 🤗https://huggingface.co/cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_72B 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size72b
Required VRAM3.1 GB
Updated2026-05-23
Maintainercutelemonlili
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.46.1
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 cutelemonlili/Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_72B.

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