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Deductive Reasoning Qwen 32B by OpenPipe

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Deductive Reasoning Qwen 32B is an open-source language model by OpenPipe. Features: 32b LLM, VRAM: 65.5GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.18.

  Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in...   Chat   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B 

Deductive Reasoning Qwen 32B Benchmarks

LLME Score: 0.18498
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deductive Reasoning Qwen 32B (OpenPipe/Deductive-Reasoning-Qwen-32B)
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Deductive Reasoning Qwen 32B Parameters and Internals

LLM NameDeductive Reasoning Qwen 32B
Repository 🤗https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM65.5 GB
Updated2026-04-25
MaintainerOpenPipe
Model Typeqwen2
Instruction-BasedYes
Model Files  3.9 GB: 1-of-17   3.9 GB: 2-of-17   3.9 GB: 3-of-17   3.9 GB: 4-of-17   3.9 GB: 5-of-17   3.9 GB: 6-of-17   3.9 GB: 7-of-17   3.9 GB: 8-of-17   3.9 GB: 9-of-17   3.9 GB: 10-of-17   3.9 GB: 11-of-17   3.9 GB: 12-of-17   3.9 GB: 13-of-17   3.9 GB: 14-of-17   3.9 GB: 15-of-17   3.9 GB: 16-of-17   3.1 GB: 17-of-17
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 32B YOYO MIX128K / 65.7 GB22
Note: green Score (e.g. "73.2") means that the model is better than OpenPipe/Deductive-Reasoning-Qwen-32B.

Rank the Deductive Reasoning Qwen 32B 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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