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Qwen2.5 32B Gokgok Step3 by mergekit-community

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Qwen2.5 32B Gokgok Step3 is an open-source language model by mergekit-community. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:maldv/qreasoner2.5-... Base model:merge:maldv/qreason... Base model:merge:mergekit-comm... Base model:mergekit-community/...   Conversational   Endpoints compatible   Instruct   Merge   Mergekit   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/Qwen2.5-32B-gokgok-step3 

Qwen2.5 32B Gokgok Step3 Benchmarks

LLME Score: 0.18773
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 32B Gokgok Step3 (mergekit-community/Qwen2.5-32B-gokgok-step3)
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Qwen2.5 32B Gokgok Step3 Parameters and Internals

LLM NameQwen2.5 32B Gokgok Step3
Repository 🤗https://huggingface.co/mergekit-community/Qwen2.5-32B-gokgok-step3 
Base Model(s)  mergekit-community/Qwen2.5-32B-gokgok-step2   maldv/QReasoner2.5-32B-Instruct   mergekit-community/Qwen2.5-32B-gokgok-step2   maldv/QReasoner2.5-32B-Instruct
Model Size32b
Required VRAM65.7 GB
Updated2025-09-23
Maintainermergekit-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/Qwen2.5-32B-gokgok-step3.

Rank the Qwen2.5 32B Gokgok Step3 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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