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AgThinker 32B Final by chegde

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AgThinker 32B Final is an open-source language model by chegde. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, LLM Explorer Score: 0.19.

  Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chegde/AgThinker-32B-final 

AgThinker 32B Final Benchmarks

LLME Score: 0.19444
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AgThinker 32B Final (chegde/AgThinker-32B-final)
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AgThinker 32B Final Parameters and Internals

LLM NameAgThinker 32B Final
Repository 🤗https://huggingface.co/chegde/AgThinker-32B-final 
Model Size32b
Required VRAM65.8 GB
Updated2026-07-07
Maintainerchegde
Model Typeqwen2
Model Files  4.9 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   2.1 GB: 14-of-14   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB134
Note: green Score (e.g. "73.2") means that the model is better than chegde/AgThinker-32B-final.

Rank the AgThinker 32B Final Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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